Search AI Jobs
16,591 published AI roles — filter by keyword, skill, seniority or contract type.
16,591 results
Updated
Senior Mission Operations Engineer, Connected Warf...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Connected Warfare division builds systems to support and execute global command and control missions. We create joint, time sensitive, multi domain, ubiquitous, connected mesh ecosystems. Our ecosystem enables connected warfare with disproportional impact by connecting every robot, human, and sensor in every domain, aggregating together hundreds of thousands of end points across the globe for battlefield dominance. We are the substrate that provides the source of truth for critical commander decision-making, effectively transforming the way that militaries close kills chains and enable mission autonomy. The Mission Operations (MOPs) team is responsible for managing the execution, delivery, growth, and success of our customer accounts. Working across product, engineering, business development and logistics teams, our Mission Operations Engineers own and shape the customer relationships by embedding themselves with their units to develop, plan, and deploy Anduril products in support of their missions. They work side-by-side with customers to understand their specific problem sets and then shape Anduril’s offerings alongside our engineering teams to fit the mission needs. Because the problems we solve are uniquely challenging, our Mission Operations Engineers naturally gravitate toward finding solutions and are adept at identifying and navigating organizational hurdles. They are ultimately responsible for customer and mission success and therefore play a critical role in the shaping and future of Anduril Industries and the Warfighter. ABOUT THE JOB Orchestrate the deployment of Anduril products. Lead the planning and deployment of Anduril’s flagship hardware and software products in support of customer missions. Through collaboration with our engineering, logistics, and technical operations teams, Mission Operators are in charge of deploying our products to the field, training end users, and ensuring the high performance of our products. We are obsessed about engagement and keeping our finger on the pulse of how customers interact with our products. This helps us improve the user experience and evolve their operational tactics and techniques. And if something isn’t quite right, we work with product teams to quickly address the issue on behalf of our customer. Grow your business through customer success. In addition to the operational and executive relationships you own, you will be responsible for meeting commercial targets that drive top line growth. This requires establishing committed and trust-based partnerships with our customers to not only help them solve their immediate problems, but also to foresee future opportunities where Anduril’s technology can make them more effective. Understanding Anduril’s value proposition and articulating how we can have an impact on a customer’s problem set, from the executive level to the end user, is critical to positioning Anduril for the future. Shape our products to meet mission needs. Work side-by-side with our customers to understand their specific mission challenges and represent the customer as you work with Anduril engineers to shape products that solve critical national and international security challenges. Anduril engineers rely on Mission Operators to understand the lay of the land and bring a perspective that informs the product development process. Collaborate across nearly every Anduril team. Successfully deploying our complex hardware and software products requires collaborating with nearly every internal Anduril team - business development, engineering, product, logistics, finance, legal, contracting, technical operations, and many more. You’ll be responsible for ensuring each party is engaged and informed, and will therefore become well-versed in what it takes to really bring the best of Anduril to our customers. WHAT WE'RE LOOKING FOR Mission First Mindset. We put the needs of the mission and our customers first and understand that the US and its allies have no preordained right to victory in any future conflict. We actively seek out opportunities to better understand our customers’ mission needs, with a goal to build the best possible products for the warfighter and radically evolve our national and international defense capabilities. We push ourselves and the limits of our capabilities in the pursuit of this goal. Ownership Mentality. We’re looking for owners; those who have a natural bias to assume responsibility, a healthy dose of skepticism, and contribute to a culture of performance. We empower our Mission Operators to quickly assume high levels of responsibility and entrust them to actively own their account and shape its success. Our Mission Operators are just as comfortable helping to shape a proposal or pitch a new customer as they are working with engineers on new features or deploying products in the field. Technical Aptitude and Intellectual Curiosity. We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal sensor fusion. Do you have a natural desire to see beyond simple cause and effect relationships to really understand how complex systems operate? Do you actively seek out opportunities to educate yourself? These capabilities form the foundation of our product offerings, so we are looking for those who are comfortable communicating technical concepts and can articulate them in the context of the customer’s mission. Structured Thinker and Problem Solver. Leading technical programs requires clear communication and well thought-out plans. We are looking for assertive communicators who bring a thoughtful perspective and honest dialogue. A solution-driven approach, the ability to distill complexity into its essential, digestible components, and the ability to supervise execution are critical to ensure mission success. High Value Team Member. Do you enjoy working as part of a team? At Anduril, the path to success weaves through the organization - account teams, engineering, logistics, technical operations, and more. It requires humility, an eagerness to learn, and empathy toward your fellow team member. We assume best intentions and empathize with customers just as we do with our colleagues. Can you develop rapport at both the user and executive levels? Do you enjoy sharing successes? We are a low ego group that promotes teamwork and collaboration to bring about success. 360 Degree Leader. We are a flat, non-hierarchical organization with a matrix structure that is dynamic and evolving. We expect you to be self-aware enough to recognize your position of unstated leadership within the company. You should have a demonstrated ability to lead and influence people through both formal and informal constructs and in situations where there is lack of clarity across teams. Finally, we need people who identify gaps and breakdowns and solve them immediately, rather than point them out and step back. You should also seek 360 feedback to help inform your growth trajectory as a leader. WHAT YOU'LL DO: - Serve in a customer-facing Account Manager capacity, working directly with the United States Army to develop and deploy Anduril integrated hardware-software C2 products to meet customer and operational needs - Own the delivery of contract deliverables to include developing, and implementing, measures of performance and effectiveness, writing technical reports, and creating user development roadmaps - Design & implement user feedback loops to gather, triage, and prioritize requirements, feedback, issues, and challenges found through the employment of Anduril C2 products during training, exercises, and normal use within unit schedules - Serve as a conduit between program and engineering teams to drive the development of product features and configurations that enhance or greatly improve efficiency of user workflows and employment of Anduril C2 products - Support engagement with other service components, Task Forces, Geographic Combatant Commands, and other Government organizations as required to integrate Anduril products laterally across United States Armed Forces customers for increased adoption - Develop and contribute to a streamlined user feedback and engagement system, which include issue tracking, training sessions, qualification tracking, and focused preparation for large scale exercises and events REQUIRED QUALIFICATIONS: - Experience in program management, product deployment, or field engineering roles - Exceptional interpersonal and stakeholder management skills with senior military leaders and officials - Understanding of U.S. and allied military operations, doctrines, and multi-domain environments - Experience translating and decomposing highly technical concepts into operational requirements and performance specifications - Strong aptitude for problem solving in unstructured situations at the intersection of hardware, software, and networking. Ability to drive challenging and vague technical problems to clarity and resolution - Willing to travel as necessary (25-50%) - Ability to work remotely across customer sites in Tacoma, WA - Must possess an active U.S. Secret clearance PREFERRED QUALIFICATIONS: - Experience in Defense Technology, Product or Program Management, Solutions Architect, or Technical Delivery-type roles - Experience and familiarity with United States Army and/or Joint-Force intelligence, operational planning, targeting, and fires systems and workflows - Experience and familiarity in mobile compute challenges and tradeoffs for dismounted soldiers in varying form factors - Familiarity with operational constraints of military workflows in Disconnected, Denied, Intermittent, and Low-Bandwidth (DDIL) environments - Familiarity with mesh networking and data federation across disparate systems - Familiarity with doctrinal, functional, and technical command and control concepts, processes, and principles US Salary Range $129,000 - $208,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Senior Frontend Software Engineer, Discovery
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril Cyber is focused on positioning Anduril as a lead provider of capabilities to enable offensive cyber missions. Cyber is a new business line at Anduril, and relies upon our fleet of autonomous vehicles, the Lattice operating system, mesh networks, and other hardware products to engage in cyber operations at the edge. We design and build novel solutions to deploy cyber capabilities in unconventional or difficult to reach environments. The new Lattice for Cyber team will build the core capabilities, experiences, and primitives that allow our Cyber products to operate reliably at scale. This is a founding team working from an unusually blank sheet of paper. ABOUT THE JOB As a Software Engineer in Lattice for Cyber, you will build the core capabilities, experiences, and primitives that our offensive Cyber programs rely on. You will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Above all, Anduril engineers on this team are driven by a "Whatever It Takes" mindset — executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes on-time and with high quality. Not only will you build the software, you’ll have the opportunity to work with the customer’s to deploy it. WHAT YOU’LL DO - Work with design teams and cyber subject matter experts to build a brand new UX product that enables US and allied nations to perform offensive cyber missions at scale. - Design and build an extensible React-based component system as a foundation for other cyber teams to build upon for their customer’s use cases and integrations. - Build the UX that powers our offensive cyber products such as command and control, autonomous cyber behavior trees, SIGINT analysis tools, and data exfiltration pipelines. - Work directly with program teams and customers as they build real missions on your products. - Contribute to technical leadership, design clarity, and long-term maintainability across a growing software stack. - Incorporate AI/LLM-enabled workflow features where they improve analyst or operator effectiveness without compromising system reliability. - Contribute back to the Lattice software platform core, allowing your products to provide value across the entire company. REQUIRED QUALIFICATIONS - 5+ years of experience designing, building, and operating production software. - Strong front-end engineering experience in modern TypeScript/React application development, Angular, Vue.js or similar tools. - Ability to debug across the full stack, including logs, networking, interfaces, configuration, and hardware/software boundaries. - Practical experience with Linux and containerized deployment. - Comfort collaborating with cross-functional engineering teams and translating ambiguous requirements into clean user experiences. - Strong written and verbal communication skills for technical reviews and architecture discussions. - Based in, or willing to relocate to, the Washington, DC or the Orange County, CA metro areas. - Willingness to travel up to 20% of the time support program teams and customer events. - US security clearance eligible PREFERRED QUALIFICATIONS - Exposure to AI/LLM integration patterns, inference workflows, tool orchestration, or model-assisted application features. - Track record of technical leadership, productization work, or direct customer interface in complex engineering environments. - Prior work delivering into air-gapped or otherwise constrained deployment environments. - Hands-on offensive or defensive cyber background. - An active U.S. Security clearance. US Salary Range $191,000 - $253,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Senior Director of Finance, Frontier Systems
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB We’re looking for a Senior Director to join the finance team supporting one of Anduril’s fastest-growing divisions. This is a high-visibility financial leadership role responsible for leading and developing a team who drive capital allocation and contract/program profitability across our Frontier Systems division. The successful candidate will operate at both the strategic level — architecting sustainable financial models and shaping the division’s capital allocation — and the operational level — embedding with division and business line leaders to drive day-to-day financial rigor. This role will interface with senior leadership across finance, production, engineering, growth, program management, and supply chain to shape and execute on the division’s long-term business objectives. WHAT YOU’LL DO Leadership & Business Partnering - Build, lead, and develop a team of finance managers and analysts, elevating the quality and consistency of financial support across business lines - Serve as strategic advisor to business line and division leaders, translating financial analysis into resourcing, tradeoff, and operational decisions - Guide production and engineering partners in defining KPIs and evaluating performance against productivity and profitability targets Strategic Finance - Build and pressure-test the long-term business cases behind the division’s biggest bets, including new IP, facility investments, and major program pursuits - Inform the division’s long-range plan by translating production ramps, R&D investment, and contract timing into scenario-based outcomes that give executive leadership a coherent view of where and when to deploy capital - Benchmark against peers across defense, autonomy, and industrial tech to sharpen the division’s point of view on unit economics, efficiency, and capital allocation - Partner with Growth to shape pricing structures and new commercial models for the division’s future products and programs Operational Finance - Direct planning for headcount, capital, and operating expense, ensuring alignment with company targets - Own working capital forecasts and capital expenditure tracking across a portfolio of product lines and contracts - Ensure supply chain financial commitments are tracked and governed appropriately as the business scales - Oversee program financial management, including, program reporting, milestone invoicing, and monthly financial status, atop strong relationships with customer and program counterparts - Partner with accounting to drive a rigorous financial close, ensuring accuracy, timeliness, and consistency across the division REQUIRED QUALIFICATIONS - 15+ years of progressive finance experience, including FP&A leadership at a company scaling through significant revenue and headcount growth. - Ownership of a full planning cycle, including long-range planning, annual operating planning, and rolling forecasts for a business of meaningful complexity. - Strong command of hardware/product economics, including unit cost, gross margin, inventory and working capital, and the cash implications of building physical products. - Experience preparing materials for and presenting to senior leadership. - Track record of hiring and developing finance teams and driving process improvement with first principles problem solving. - Proven ability to operate as a strategic business partner across functions, earning trust and influencing decisions before they are made. - Fluency in the underlying financial detail, with the ability to build models when needed and defend key assumptions. - U.S. Person status and eligibility to obtain a security clearance. PREFERRED QUALIFICATIONS - Manufacturing or industrial finance experience, including capital project evaluation and factory ramp planning. - Exposure to IPO readiness, public-company reporting, or debt and equity financing processes. US Salary Range $253,000 - $336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Security, Education, Training and Awareness Manage...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Security Team at Anduril is the cornerstone of defense, employing unparalleled security measures and state-of-the-art technology to ensure the protection of our people, assets, operations, and innovations. Given the unique nature of this company, our team supports a host of standard and non-standard taskings integrating physical and digital measures to stay ahead of evolving threats. We also uphold stringent industry and government compliance, creating a secure environment that nurtures the development of cutting-edge defense solutions and ensures Anduril's continued growth and innovation in a complex global landscape. ABOUT THE JOB Anduril is seeking a self-motivated and creative Security Education Training & Awareness (SETA) Manager to own and elevate our security education program. You will leverage your expertise in US government security policies (Industrial & Special Programs) to design, update, and deliver engaging training materials both in-person and digitally. Operating in a fast-paced, dynamic environment, you will build trust across all levels of the company to foster a strong, proactive security culture. If you are an ambitious problem-solver who enjoys translating complex security policies into clear, actionable resources, this role is for you. WHAT YOU'LL DO - Program Ownership: Manage and scale Anduril’s SETA program, designing innovative training methods across multiple channels (in-person, Slack, Confluence, email). - Content Creation: Partner with Anduril Program Leadership to develop an internal training initiative to bridge the gap between security and Anduril classified programs, fostering early engagement to secure the necessary classified space and cleared staffing ahead of schedule. - Strategic Partnership: Partner with FSOs, CSSOs, Program Managers, and the PERSEC team to update annual refresher courses and assign program-specific training. - Onboarding & Briefings: Conduct engaging onboarding briefings, debriefings, and compliance training that go beyond "reading slides" to ensure true comprehension. - Reporting & Compliance: Maintain tracking metrics, update internal databases, and provide detailed security status reports to security leadership. - Security Engagement and External Partnerships: Develop and manage an on-site Security Speaker Series by establishing partnerships with federal, state, and local law enforcement and government agencies-including FBI, local police departments, Defense Counterintelligence and Security Agency (DCSA) and other government partners-to deliver presentations on key security topics. Foster strong relationships with external partners to enhance employee awareness and strengthen Anduril’s security culture. - Security Awareness Campaigns: Lead enterprise-wide security awareness campaigns, workshops, tabletops discussions, and special events that promote a proactive security mindset and reinforce Anduril’s commitment to protecting classified information, technology, facilities, and personnel. REQUIRED QUALIFICATIONS - The ideal candidate is an experienced leader holding a Bachelor’s degree and possessing the proven ability to motivate and guide a workforce through a dynamic organizational culture shift. - Self-driven, go-getter, ambitious mentality, willing to think outside the box, find gaps, and fix them. Ability to handle multiple demands and prioritize workload based on urgency. - Comprehensive knowledge and experience of instructional systems design, a proven ability to deliver high-impact briefings, and a thorough understanding of the educational methodologies and compliance procedures necessary to design effective training. - Creativity and professionalism; be able to create training that is easy for all personnel to understand, complies with government policy, and incorporates Anduril processes and procedures. Gives people what they need to know to do their jobs. - Experience with DoD 32 CFR Part 117, National Industrial Security Program Operating Manual (NISPOM), DoDM 5205.07 and applicable Intelligence Community Standards (ICS). - Ability to communicate and interact professionally and courteously both orally and in writing with all levels of employees and customers - Must hold a current U.S. Top Secret security clearance. US Salary Range $129,000 - $171,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Program Manager, Supply Chain Training
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Manufacturing Production team is responsible for a wide range of activities that are crucial to the manufacturing process, including operating equipment, assembling products, performing quality control checks, and maintaining a safe and efficient work environment. As a key part of the broader Manufacturing Learning and Development team , this role specifically leads the training execution, infrastructure, and delivery for our Supply Chain and Warehouse operations. The MFG Learning and Development team designs, develops, and delivers training programs that enhance technical proficiency, ensure compliance, and support career growth. By joining this team, you will ensure our materials and logistics training infrastructure is tightly aligned with our best practices and established standards for production training. ABOUT THE JOB We’re building the future of defense manufacturing — and that starts with how we train, develop, and scale our workforce. As a member of the MFG Learning and Development team, the Program Manager, Supply Chain & Warehouse Training will lead the day-to-day execution and delivery of training across our warehousing and materials operations footprint. In this role, you will lead the hands-on work and inform the broader, long-term training strategy for the business unit. Your first priority will be standing up a standardized onboarding and training curriculum for our core materials roles (including Materials Handlers, Inventory Control, Materials Flow Specialists, and Production Coordinators) and scaling this training across all operating sites. You will start by managing a team of two training specialists, coaching them to deliver high-quality, hands-on, and systems-based learning solutions. Crucially, you will lead the effort to ensure that all supply chain training programs and infrastructure are aligned with the high standards, methodologies, and best practices established by the production training team. WHAT YOU’LL DO - Lead and Inform Training Strategy: Lead the day-to-day execution and delivery of training programs for warehousing and materials operations, while providing critical floor-level insights to inform the broader MFG Training strategy. - Align with Production Standards: Lead the work to ensure all supply chain training infrastructure, delivery methods, qualification standards, and content development align with the established best practices of the broader MFG Training & Development organization. - Design & Stand Up Onboarding: Lead the creation and standardization of a highly effective onboarding program from scratch for Materials Handlers, Inventory Control, Materials Flow Specialists with a focus on scaling the curriculum across all operating sites. - Systems Training Execution: Manage and deliver training programs for core supply chain systems, including Oracle, Forge WMS, and Autotime, while supporting the transition strategy away from legacy systems (Odoo, PackageX). - Lead and Develop the Team: Provide direct leadership, coaching, and daily direction to a team of two training specialists, ensuring excellence in classroom facilitation, floor-level training, and documentation. - Track Outcomes & Drive Improvement: Measure training effectiveness using key operational metrics (e.g., time-to-productivity, picking/packing accuracy, system transaction errors, safety compliance) and use this data to continuously improve programs. - Build Strong Relationships: Partner closely with Supply Chain, Warehouse operations, Industrial Engineering, and Production leadership to understand operational pain points, build trust, and align training solutions to operational needs. REQUIRED QUALIFICATIONS - 8+ years of experience in Learning & Development, Technical Training, or Program Management. - Must have experience working within or directly supporting a supply chain, warehouse, or materials management function within a fast-paced production or manufacturing environment. - Proven experience building strong collaborative relationships with operational leaders and translating their business needs into training solutions. - Experience leading and managing direct reports (this role will have 2 direct reports). - Demonstrated experience executing, standardizing, and scaling training/onboarding programs across multiple physical locations or sites. - Superb facilitation and coaching skills—able to engage and train frontline materials handlers, operations managers, and specialized industrial engineers. - Strong organizational and project management skills, with the ability to lead multiple projects concurrently in a rapidly scaling environment. - Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS - Direct experience training staff on ERP and Warehouse Management Systems (WMS), specifically Oracle, Forge WMS, and Autotime. - Experience supporting system migrations and tool adoption training - Deep understanding of warehouse safety standards, 5S methodologies, inventory control practices (cycle counting, reconciliation), and materials flow engineering. - Experience aligning training programs across distinct but dependent business units (e.g., aligning Warehouse Training with Manufacturing/Production standards). - Lean Qualifications US Salary Range $112,000 - $149,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Product Manager, Semantic Layer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM CorpTech Platform is the internal engineering force multiplier behind Anduril's corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure. We build the foundations that power both CorpOS, enabling Finance and Growth to operate with speed and precision, and ArsenalOS, the digital backbone of Anduril's hardware enterprise. By unifying systems, accelerating development velocity, and embedding intelligence into every layer, CorpTech Platform transforms how the company operates end to end. We are driving Anduril toward becoming an autonomous enterprise. Through initiatives like the Autonomous Software Factory, we are rethinking how software is built, tested, deployed, and evolved by integrating AI into the engineering lifecycle. ABOUT THE JOB Anduril runs on trusted data, and today too much of it means different things to different teams. The Product Manager, Semantic Layer & Ontology owns the product suite that lets us define, build, and maintain a single semantic layer: the shared metrics, dimensions, entities, and relationships that data engineering, analytics engineering, analytics, and master data management all build against. This is a hands-on role. You will submit code PRs with AI coding agents to extend the semantic models, ui, and tooling. You will sit at the seam of every data function, so the definitions you ship become the version of the truth the business reports on. WHAT YOU'LL DO - Own product strategy, roadmap, and success metrics for the product suite that supports building and maintaining the semantic layer and ontology. - Partner across data engineering, analytics engineering, data analytics, and master data management to define shared metrics, dimensions, entities, and relationships once, then reuse them everywhere. - Turn conflicting definitions, data disputes, and modeling ambiguity into a governed source of truth that teams adopt. - Act as a hands-on builder by submitting code PRs with AI coding agents such as Claude Code for the semantic layer application. - Build and operate a feedback and triage loop for definition requests, data-quality issues, and adoption blockers. - Define governance and contribution standards for the ontology, including ownership, versioning, and change management, so the model stays coherent as sources and teams grow. - Balance a canonical master data model against the speed analytics and downstream teams need to ship. - Communicate modeling decisions, trade-offs, and data-quality risks to data teams, business stakeholders, and senior leadership. - Establish a model for AI-enabled product development where the PM contributes directly to the semantic layer without compromising lineage, reliability, or governance. REQUIRED QUALIFICATIONS - 5+ years of experience across product management and one or more data functions: data engineering, analytics engineering, data analytics, or master data management, in a fast-paced environment. - Demonstrated experience owning a data product, or working in a data technical function and pivoting into product. - Demonstrated builder orientation, including submitting code such as SQL, dbt, Python, or semantic-layer definitions, and shipping with AI coding agents. - Strong technical fluency in semantic layers, dimensional modeling, data pipelines, and the trade-offs between a governed model and local team speed. - Demonstrated ability to work across multiple data teams with competing definitions and align them on a shared model. - Ability to operate with high autonomy while maintaining judgment, communication, and alignment across data engineering, business partners, and leadership. - Excellent written and verbal communication skills, with the ability to influence senior engineers, data teams, and executive leadership. - Degree in Computer Science, Information Systems, Engineering, Statistics, or related field, or equivalent practical experience. - U.S. Person status is required as this position needs to access export controlled data. PREFERRED QUALIFICATIONS - Hands-on experience with a semantic layer or metrics layer (dbt Semantic Layer, Cube, LookML, AtScale, Malloy, or similar) and modern warehouses such as Snowflake, BigQuery, or Databricks. - Experience owning or contributing to a master data management program, including entity resolution, golden records, and stewardship. - Familiarity with frontier AI tooling, AI coding assistants, and agentic development workflows applied to data and analytics. - Experience building against a data catalog, lineage, or governance tooling in a large or fast-growing data estate. - Familiarity with enterprise systems and business process domains such as ERP, CRM, finance, supply chain, or manufacturing. - Experience in hyper growth startup-like environments, with demonstrated success balancing speed, ambiguity, autonomy, and long-term data health. - Eligible to obtain and maintain a U.S. Secret security clearance. US Salary Range $166,000 - $220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Modeling and Simulation Engineer, Space
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain. ABOUT THE JOB As a Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Propulsion, Communications, Flight Software, Mission Operations, and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of space missions. This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC. WHAT YOU’LL DO - Develop model-driven analysis (and often the models themselves) - Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products - Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors - Convey the value through life of AI-powered distributed systems over traditional industrial offerings - Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage REQUIRED QUALIFICATIONS - Currently possesses and is able to maintain an active U.S. Secret security clearance - Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions - Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR - Outstanding communication skills to include visual presentation of complex data - Strong background in orbital mechanics and space environment - Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy) - Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field PREFERRED QUALIFICATIONS - 3+ years in a relevant Science/Engineering field - Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience - Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy) - Proficiency with STK and Astrogator - Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms US Salary Range $166,000 - $220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Mission Software Engineer, Vehicle Software, Conse...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We're seeking Software Engineers to build the core Command and Control software for our Lattice platform. This team is responsible for bridging the gap between hardware and human operators. Our software runs both on the vehicles managing real-time telemetry, health, and autopilot tasks and on the Ground Control Station enabling operators to plan missions, visualize maps, manage massive fleets, and orchestrate complex autonomous behaviors. We are also pioneering the integration of GenAI agents into our systems, allowing operators to direct autonomous assets using natural language interfaces. This is a highly autonomous role where you will build, ship, and see your code run on physical hardware deployed in the world. REQUIRED QUALIFICATIONS - Design and implement consensus protocols (Raft, CRDT, or others) that keep a fleet of autonomous vehicles converging on shared truth over lossy, contested links - Build the next generation of distributed teaming state: replicated mission data, leader election, and conflict resolution across dozens of nodes with no guaranteed central authority - Support bothstrong consensus and eventual consistency depending on real-world latency and partition constraints - Own the failure semantics when partitioned vehicles rejoin the team - Eligible to obtain and maintain an active U.S. Top Secret security clearance - BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field. - 3+ years of production-grade C++ and/or Rust experience in a Linux development environment - Experience building software solutions involving significant amounts of data processing and analysis - Ability to quickly understand and navigate complex systems and established code bases - A desire to work on critical software that has a real-world impact - Travel up to 30% of time to build, test, and deploy capabilities in the real world PREFERRED QUALIFICATIONS - Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems - Developing and testing multi-agent autonomous systems and deploying in real-world environments. - Feature and algorithm development with an understanding of behavior trees. - Developing software/hardware for flight systems and safety critical functionality. - Distributed communication networks and message standards - Knowledge of military systems and operational tactics US Salary Range $166,000 - $220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Mission Software Engineer, Vehicle Software, Commu...
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We're seeking Software Engineers to build the core Command and Control software for our Lattice platform. This team is responsible for bridging the gap between hardware and human operators. Our software runs both on the vehicles managing real-time telemetry, health, and autopilot tasks and on the Ground Control Station enabling operators to plan missions, visualize maps, manage massive fleets, and orchestrate complex autonomous behaviors. We are also pioneering the integration of GenAI agents into our systems, allowing operators to direct autonomous assets using natural language interfaces. This is a highly autonomous role where you will build, ship, and see your code run on physical hardware deployed in the world. REQUIRED QUALIFICATIONS - Eligible to obtain and maintain an active U.S. Top Secret security clearance - BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field. - 3+ years of production-grade C++ and/or Rust experience in a Linux development environment - Integrate autonomous systems with military radio links such as Link 16 and other third-party waveforms - Build robust link-switching logic that keeps the mission running through degraded RF environments - Design and implement failure modes for lost-comms scenarios so vehicles act decisively when the link drops - Experience building software solutions involving significant amounts of data processing and analysis - Ability to quickly understand and navigate complex systems and established code bases - A desire to work on critical software that has a real-world impact - Travel up to 30% of time to build, test, and deploy capabilities in the real world PREFERRED QUALIFICATIONS - Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems - Developing and testing multi-agent autonomous systems and deploying in real-world environments. - Feature and algorithm development with an understanding of behavior trees. - Developing software/hardware for flight systems and safety critical functionality. - Distributed communication networks and message standards - Knowledge of military systems and operational tactics US Salary Range $166,000 - $220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Full-Stack Software Engineer, Mission Autonomy
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We're seeking Software Engineers to build the core Command and Control software for our Lattice platform. This team is responsible for bridging the gap between hardware and human operators. Our software runs both on the vehicles managing real-time telemetry, health, and autopilot tasks and on the Ground Control Station enabling operators to plan missions, visualize maps, manage massive fleets, and orchestrate complex autonomous behaviors. We are also pioneering the integration of GenAI agents into our systems, allowing operators to direct autonomous assets using natural language interfaces. This is a highly autonomous role where you will build, ship, and see your code run on physical hardware deployed in the world. REQUIRED QUALIFICATIONS - Eligible to obtain and maintain an active U.S. Top Secret security clearance - Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics - 3+ years working in a full-stack capacity in any of the following - Backend Python, C++, Rust, Go, Java, JavaScript - Frontend React and Typescript - Experience building software solutions involving significant amounts of data processing and analysis - You understand how real-time backend data flows seamlessly into an operator's UI. - Ability to quickly understand and navigate complex systems with a bias toward rapid delivery and iteration - Desire to collab with team members to deliver novel software capabilities to ambiguous problems PREFERRED QUALIFICATIONS - Experience with any of the following, distributed systems, cloud computing, or SAAS - Experience with multi-agent autonomous systems or defense tech - Knowledge of military systems and operational tactics - Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems US Salary Range $166,000 - $220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Division Operations Lead
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maneuver Dominance team is building Thunder - an autonomous attack rotorcraft built to fight alongside crewed combat aviation to deliver overwhelming mass effects deep beyond the front lines. The team in London builds the Mission System and the autonomy that makes aircraft like Thunder work. Autonomy is only as good as the link that carries it. Thunder is a compact airframe with weapons, sensors and radios competing for the same antenna real estate, flying low and in formation, in a spectrum that is actively contested. That is the problem you would own. ABOUT THE JOB We are looking for someone to lead our Division Operations team based in Costa Mesa. Anduril’s Air Maneuver group within the Maneuver Dominance Division, one of Anduril’s fastest growing divisions, has assembled a diverse team of experts, including aerospace, mechanical, and electrical engineers, alongside software, robotics, artificial intelligence, sensor fusion, and data analysis specialists. Together, we create cutting-edge vehicle-centric hardware and software solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous vehicle systems to tackle the extremely challenging industry demands. Our focus is on delivering advanced tactical unmanned vehicle systems, battlefield intelligence, and flexible ground and air autonomy solutions. We are actively developing and iterating on a portfolio of next-generation vehicle platforms, including Thunder, a fully autonomous VTOL platform designed for advanced persistent intelligence, surveillance, & reconnaissance. Through this and other programs, Anduril is executing on substantial contracts to bring these capabilities to our customers. As a rapidly growing division, Maneuver Dominance is not just delivering products; we are building the fundamental enabling technologies that empower our systems with exquisite perception, sophisticated behaviors, and unparalleled capabilities. This deep investment fuels an expanded product portfolio where systems, including Thunder and other platforms will form a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the land, air, and tactical domains. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril and help us build the future of defense capability. WHAT YOU'LL DO - Partner with Division and Anduril leadership to build out and run the staffing machine for our organization, enabling efficient in country recruiting, facility and infrastructure standup, and allocation of resources as the organization scales. - Support our corporate planning cycle by building and managing the local business operations functions such as monitor performance against goals, financial plans, and headcount plans so we can hit our aggressive growth targets. - Work with Product Engineering and Test and Evaluation teams to find and close operations gaps and ensure seamless execution of program schedule. - Serve as liaison to Anduril UK for international trade and export compliance matters - Regularly monitor and analyze recruiting, staffing, and financial progress against plans and provide recommendations to leadership for resource planning and reallocation - Work with Anduril’s Business Operations, Analytics, and Finance teams to build out infrastructure to enable the Division to monitor and optimize the demand vs supply of resourcing across our most critical programs - Lead various strategic initiatives and projects as directed by leadership and the Head of Division Operations, ensuring they align with the overall business strategy and objectives - Coordinate and prepare for executive leadership meetings with partners and customers, including setting agendas, tracking action items, and ensuring follow-through. - Develop fundamental knowledge of Anduril product solutions to support regional growth and capture activities REQUIRED QUALIFICATIONS - You have 7 - 10 years of experience in consulting, operations, finance, or general business analysis. - You have a strong background in executing business operations and driving outcomes - Strong ability to communicate, both verbally and in writing, key business and program execution - You have strong fundamentals in operational accounting and finance - You love solving complex, ambiguous, cross-functional problems in a people-centric way - You’re both high ownership and low ego, approaching everything with strong outcome orientation and high humility - You get energy from being a thought partner for others and it excites you to spend time translating operational problems into data problems, and to then going and executing on them - You’re discerning and an incredibly fast learner - You’re tactical and don’t only sit at a 30,000 foot level - Eligible to obtain and maintain a security clearance in United States PREFERRED QUALIFICATIONS - Experience working at or with Aerospace & Defense companies, Robotics, Technology, or other manufacturing heavy companies directly or in an advisory capacity - Experience with vertical lift platforms or adjacent technologies - Experience working at a startup or ability to establish processes and SOPs from scratch US Salary Range $166,000 - $220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Director, Site Reliability Engineering
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM: CorpTech Platform is the internal engineering force multiplier behind Anduril's corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure. We build the foundations that power both CorpOS, enabling Finance and Growth to operate with speed and precision, and ArsenalOS, the digital backbone of Anduril's hardware enterprise. By unifying systems, accelerating development velocity, and embedding intelligence into every layer, CorpTech Platform transforms how the company operates end to end. We are also driving Anduril toward becoming an autonomous enterprise. Through initiatives like the Autonomous Software Factory, we are rethinking how software is built, tested, deployed, and evolved by integrating AI directly into the engineering lifecycle. CorpTech Platform is how Anduril scales its business systems with the same rigor, speed, and adaptability as its mission critical products. ABOUT THE JOB: The Director of Site Reliability Engineering owns the reliability system for the software that runs Anduril's business and manufacturing operations. This role leads the SRE organization and partners with software engineering leaders to make availability, resilience, performance, and production readiness shared engineering outcomes. The mandate extends beyond responding well when systems fail: it is to reduce the frequency and impact of failure through sound architecture, durable infrastructure, clear service ownership, and disciplined operating mechanisms. You will set the portfolio-wide reliability strategy, build the team and leadership structure required to execute it, and give senior leaders a clear view of operational risk and investment choices. The strongest candidate will combine deep technical judgment with organizational leadership and will know when to establish a common standard, when to build a shared capability, and when to enable an engineering team to own the solution directly. WHAT YOU'LL DO: - Build and lead the Site Reliability Engineering organization, including hiring, coaching, performance management, succession planning, and development of managers and senior technical leaders. - Own the reliability strategy for CorpTech Platform's production portfolio, translating operational risk and business criticality into a sequenced roadmap of engineering and infrastructure investments. - Establish shared accountability between SRE and software engineering through clear service ownership, SLOs, production-readiness standards, on-call expectations, and escalation mechanisms. - Set direction for observability, deployment safety, incident management, capacity planning, resilience, and disaster recovery across business-critical systems and shared infrastructure. - Partner with engineering, product, security, and business operations leaders to make informed trade-offs between delivery speed, reliability, cost, and long-term platform health. - Lead the organizational response to critical incidents, ensure communication and decision-making remain effective under pressure, and hold teams accountable for durable post-incident improvements. - Reduce recurring incidents and operational toil by turning cross-system failure patterns into platform capabilities, automation, architectural changes, and clearer ownership boundaries. - Define meaningful reliability measures and operating reviews that expose systemic risk, guide investment decisions, and demonstrate progress without incentivizing superficial compliance. - Create a healthy on-call system with the staffing, tooling, training, and management support required to sustain reliable services without normalizing burnout or heroics. - Establish reliability practices for AI-enabled systems, including appropriate observability, evaluation, degradation, and fallback mechanisms for non-deterministic production behavior. REQUIRED QUALIFICATIONS: - 12+ years of experience in site reliability engineering, production engineering, infrastructure engineering, software engineering, or a closely related discipline, including significant experience leading engineering teams and managers. - Demonstrated success leading an SRE, infrastructure, or production engineering organization accountable for a diverse portfolio of business-critical systems at meaningful scale. - Strong people leadership skills, including hiring, coaching, performance management, organizational design, and development of managers and senior individual contributors. - Deep technical fluency across distributed systems, cloud infrastructure, container orchestration, networking, storage, observability, deployment systems, and the failure modes of each layer. - Experience establishing SLOs, production-readiness standards, incident management systems, on-call practices, and operational maturity mechanisms across multiple engineering teams. - Track record of improving reliability through systemic engineering investments and shared accountability with software engineering rather than relying on reactive support or manual controls. - Demonstrated ability to assess operational and business risk, prioritize investments across competing needs, and lead effectively through complex production incidents. - Excellent written and verbal communication skills, with the ability to influence senior engineers, executive leadership, and cross-functional partners. - Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience. - U.S. Person status is required as this position needs to access export controlled data. PREFERRED QUALIFICATIONS: - Experience leading reliability for enterprise, manufacturing, or other operationally critical systems with complex dependencies and varied service maturity. - Experience building or scaling an SRE organization in a hyper growth environment while improving both service health and engineering velocity. - Experience operating in a federated engineering model in which reliability standards and shared capabilities must influence teams outside the direct reporting line. - Familiarity with AI-enabled production systems, including observability, evaluation, safeguards, and graceful degradation for non-deterministic behavior. - Experience with enterprise systems and business process domains such as ERP, MES, WMS, CRM, finance systems, or manufacturing systems. - Eligible to obtain and maintain a U.S. Secret security clearance. US Salary Range $253,000 - $336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: - No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. - Please always verify communications: - Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . - Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. - What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
AI Software Team Lead, ML Platform
About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a leadership role within Aidoc’s core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components. The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the team’s technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions. You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact. Responsibilities - Lead the team’s work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution. - Guide and support team members’ growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability. - Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest. - Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities. - Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation. Requirements - BSc or MSc in Computer Science, Engineering, or a related field. - At least 7 years of hands-on experience building complex software systems. - At least 3 years of experience as a team leader, actively contributing to design and code development. - Experience designing and building core software systems that are an integral part of algorithmic and AI-driven solutions. - Deep understanding of computer science fundamentals, including object-oriented design, performance optimization, and system complexity. - Strong ability to lead end-to-end development processes while remaining technically involved. - Strong communication and collaboration skills, with the ability to work effectively across teams. - A strong sense of ownership and accountability, leading by example and driving execution. - A collaborative leader who listens, values others’ input, and motivates team members. - Strong commitment to clean code, sound architecture, and high engineering standards. Working at Aidoc Our Perks: - Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) - We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. - Amazing and healthy breakfasts and lunches prepared daily by our personal chef! - Stocked up kitchen & meal card - Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. - Amazing culture - collaborative, transparent & fun! - Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Senior Staff Data Scientist, Robotics
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About The Role Agility Robotics builds Digit, a humanoid robot deployed into real warehouses and factories under a Robots-as-a-Service (RaaS) model. Every hour Digit operates generates telemetry, logs, sensor streams, and maintenance events — and turning that into reliability, unit economics, and product decisions is the job. As a Senior Staff Data Scientist, you'll define how we use data to build better robots and make better decisions. This is a high-impact, high-visibility role where you'll set the technical direction for analytics and modeling while helping build a truly data-driven engineering organization. In this newly created role, you'll transform massive volumes of complex robot data into the insights and models that drive decisions across hardware, software, manufacturing, and operations. You'll create the foundation for how we measure success, improve robot performance at scale, and prioritize what to build next — accelerating how we design, deploy, and continuously improve our autonomous systems. About The Work - Predictive maintenance & hardware reliability . Build models that predict MTBF and remaining useful life for specific components (actuators, cameras, compute, power systems). Partner with hardware engineering to model wear-and-tear under varying duty cycles, payloads, and environmental conditions, and turn those models into maintenance schedules and design feedback. - Fleet performance & RaaS unit economics . Analyze telemetry and logs to find which software versions, site conditions, or usage patterns correlate with the highest failure and intervention rates. Work with Product to define the "golden signals" of a RaaS deployment and stand up the dashboards behind each. Quantify the cost of human intervention (teleop, on-site support, manual recovery) and its drivers. - Root-cause & anomaly detection tooling . Build detection and RCA tooling that surfaces anomalies in fleet behavior early and helps engineers get from symptom to cause faster. - Manufacturing quality & feedback loops . Join end-of-line test data with field performance to find which manufacturing signals predict early field failures, and close the loop back to the factory to catch defects before they ship - Beyond the original charter, you may also help shape: - Experimentation & fleet A/B — a framework for safely rolling out software/firmware changes across a physical fleet and measuring impact on performance, reliability, and intervention cost. - Data quality & instrumentation strategy — partnering with embedded/software teams to define what gets logged and at what fidelity, so the data needed for these models exists in the first place. - Demand/capacity & deployment economics — models that inform fleet sizing, spares/inventory, and the economics of new site rollouts. - Safety statistics . About You - 10+ years applying data science / statistical modeling to real-world problems, with a track record of owning ambiguous, high-impact problems end to end. - MS or PhD in Statistics, Computer Science, Operations Research, Engineering, Physics, or a related quantitative field; or equivalent professional experience. PhD and coursework/experience in reliability engineering, survival analysis, or applied statistics preferred. - Prior work in robotics, autonomous systems, hardware, IoT/connected devices, industrial, or manufacturing settings. - Deep expertise in some combination of: reliability/survival analysis, time-series and anomaly detection, predictive maintenance, and causal/observational inference. - Strong software fundamentals — production-quality Python, comfort in SQL and modern data stacks. - 3+ years serving as a technical lead or a senior IC on cross-functional efforts, with a track record of setting technical direction for a team of data scientists/analysts, mentoring and growing ICs, and driving alignment across engineering and business stakeholders without formal authority. - Fluency partnering cross-functionally with hardware, embedded/software, manufacturing, and business/finance stakeholders, and translating analysis into decisions they trust. - Experience working with large-scale, messy, multi-modal operational data (sensor/telemetry, logs, event streams) and the judgment to know when the data can and can't support a conclusion. - Authorization to work in the USA Bonus Points - Familiarity with fleet operations, RaaS/subscription unit economics, or SRE-style operational metrics. - Exposure to manufacturing quality systems (end-of-line test, SPC, yield/defect analytics). Location - This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Base Salary Range $218,000 - $340,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: - 401(k) Plan: Includes a 6% company match. - Equity: Company stock options. - Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. - Benefit Start Date: Eligible for benefits on your first day of employment. - Well-Being Support: Employee Assistance Program (EAP). - Time Off: - Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. - Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. - On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. - Parental Leave: Generous paid parental leave programs. - Work Environment: A culture that supports flexible work arrangements. - Growth Opportunities: Professional development and tuition reimbursement programs. - Relocation Assistance: Provided for eligible roles. - Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Staff IT Engineer
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE As a Staff IT Engineer, you will be a technical leader responsible for driving efficiency and scale across the entire corporate IT infrastructure and enterprise ecosystem. You will design, build, and maintain mission-critical automation solutions that eliminate manual processes, enhance security posture, and improve the employee experience globally. This role requires deep engineering expertise, an IT product mindset for automation, and the ability to mentor junior team members while tackling the organization's most complex integration and scaling challenges. You will work directly with IT leadership, Security leadership, and department heads across the company. Operating at the intersection of healthcare AI and enterprise IT, you will be expected to architect and enforce automation standards that meet the rigorous demands of a HIPAA-compliant, SOC 2-audited environment. WHAT YOU'LL DO - Workflow Automation: Develop scalable, resilient workflow automation solutions to streamline critical business processes, including onboarding/offboarding, access requests, compliance enforcement, and self-service IT support. - API and Integration Development: Serve as the subject matter expert for integrating disparate systems by building robust, fault-tolerant connections using APIs and event-driven architectures. - Identity and Access Management (IAM): Drive automation within the IAM infrastructure, focusing on automated role assignment, least-privilege policy enforcement, and audit-friendly logging of authentication and authorization events. - Enterprise Data Engineering: Architect and engineer robust data platforms for IT, ensuring efficient collection, normalization, and secure storage of high-volume enterprise data for reporting, audit, and advanced analytics. - Technical Leadership: Act as a force multiplier for the team — establishing engineering best practices, leading code reviews, documenting architectures, and mentoring engineers in automation principles. - Business Systems & Custom Application Deployment: Own the end-to-end deployment and lifecycle management of business-critical systems and custom-built applications, from architecture and vendor evaluation through implementation, integration, and ongoing support — ensuring solutions are secure, scalable, and aligned with enterprise IT standards. WHAT YOU'LL NEED - Experience: 10+ years in IT Engineering, IT Apps Development, or DevOps, with at least 5 years dedicated to large-scale enterprise automation. - Cloud & Platform Expertise: Deep hands-on experience automating complex operations and governance across GCP, AWS, and/or Azure. You will bring an ability to build and modularize infrastructure provisioning using Infrastructure as Code (i.e. Terraform). - Programming Proficiency: Highly proficient in at least one modern programming language; strong preference for Python. - Systems Integration: Proven experience with REST/GraphQL APIs and querying and managing relational databases (SQL strongly preferred). - Automation Platforms: Extensive experience designing and managing centralized automation platforms (e.g., n8n, SOAR, Ansible, Workato, or custom frameworks). - Compliance Context: Experience operating in regulated industries (healthcare, finance, or similar) with exposure to SOC 2, HIPAA, or equivalent compliance frameworks. - Communication: Able to communicate effectively across a wide range of audiences — from engineers to GTM stakeholders, from individual contributors to executives. BONUS POINTS - Experience with agentic AI or ML models applied to IT automation (proactive issue detection, intelligent routing, NLP). WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Member of Technical Staff, Data
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Data Engineer to join our growing US-based Data Engineering team. In this crucial role, you will build and optimize large scale data infrastructure to drive business decisions and machine learning research. WHAT YOU’LL DO - Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes. - Build and manage OLAP databases, ELTs and general data tooling for analytics , business decisions and products features. - Work closely with a team of frontend and backend engineers, product managers, and analysts. - Optimize data infrastructure to enhance the throughput, latency and reliability of the data system. - Investigate and correct issues identified through data operations monitors, tools, and reports. - Designs data integrations and data quality framework. WHAT YOU’LL BRING - 8+ years of experience in Data Engineering or Backend Engineering with a focus on data systems. - Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant) - Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services - Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types - Deep knowledge of modern data infrastructure best practices - Experience with distributed systems and different distributed processing frameworks - Experience with Terraform, Kubernetes, and containerization technologies. - Familiarity with the deploying ML models at scale a bonus - Experience in building data products that are well-modeled, documented and easy to understand and maintain. - Ability to prioritize amidst changing priorities in a fast moving environment WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Member of Data Science Staff
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Senior Data Scientist to join our growing US-based Data Science team. Your work will be instrumental in driving product strategy, directly influencing how healthcare professionals engage with patient data. You’ll work across Abridge’s full product portfolio, partnering with product, engineering, science, commercial and finance teams to drive decisions with data. WHAT YOU'LL DO - Extract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external data. - Ensure end-to-end visibility and understanding of our AI generation pipelines, from internal quality metrics to automated assessment in production. - Investigate and correct issues identified through data operations monitors, tools, and reports. - User Behavior Modeling: Identify user patterns and insights by analyzing user interactions, engagement metrics, funnel analysis, etc. for product improvement and feature development. It is critical for data to drive increased user engagement and retention. - A/B Testing: Design and analyze A/B tests to evaluate the effectiveness of product features and design changes. - AI model evaluation: Design and analyze metrics to evaluate our AI models, guide the team on gaps in evaluation processes, and drive solutions to improve measurable outcomes. - Collaboration with Product Teams: Work closely with product managers, designers, and engineers to translate data insights into product priorities. - Serve as a domain expert for the business context of our analytics data, sharing your understanding of the assumptions and limitations of our business metrics. - Continually enhance our understanding of the business and product, by identifying and filling gaps in our data sources. This includes working closely with multidisciplinary teams such as product, engineering, partner success, and the executive team. WHAT YOU'LL BRING - 8+ years using Python, R, SQL for analytics - 5+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them. - Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2) - Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion. - Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning Bonus - Knowledge of healthcare settings, electronic health records (EHR), and healthcare billing are all a plus Must be willing to work from our SF or NYC office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Senior Software Engineer, Vector Index Research
Zilliz is a fast-growing startup developing the industry’s leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world’s most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization. The Vector Index team focuses on building the core vector retrieval capabilities behind Milvus, Zilliz Cloud, and Vector Lakebase. We work on making similarity search over massive embedding datasets faster, more accurate, and more cost-efficient, while continuously advancing ANN algorithms, index structures, quantization, compression, recall optimization, CPU/GPU acceleration, and high-performance retrieval frameworks. This role sits at the intersection of research and engineering. You will read papers, evaluate new algorithms, build prototypes, and turn promising ideas into production-grade vector indexing and retrieval systems. We are looking for engineers who enjoy research, but also have strong engineering fundamentals, performance optimization skills, and engineering taste. What you'll do: Research, evaluate, and implement new vector indexing and retrieval algorithms for Milvus, Zilliz Cloud, and Vector Lakebase Read papers and track emerging work in vector search, ANN algorithms, index structures, quantization, compression, reranking, GPU acceleration, and AI retrieval systems Build high-performance vector indexing components, including index building, query paths, vector preprocessing, quantization, compression, memory layout, and CPU/GPU acceleration Optimize vector retrieval performance across latency, throughput, recall, memory usage, index build time, and cost efficiency Design benchmarks and evaluation frameworks to compare algorithms and implementations under real data scale, real query patterns, and real AI workloads Debug and solve complex performance issues across algorithm implementation, CPU/GPU execution, SIMD/vectorization, memory access, concurrency, and I/O Turn research prototypes into maintainable, testable, and evolvable production-grade indexing capabilities Use AI tools across the research and engineering workflow, including paper analysis, prototype generation, code implementation, testing, benchmarking, documentation, and performance analysis What we're looking for: 3+ years of experience in vector search, ANN algorithms, search systems, high-performance computing, or performance-critical systems Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience Strong C++ or Rust programming ability and solid engineering fundamentals Experience with vector similarity search, ANN algorithms, index structures, quantization, compression, reranking, or high-performance retrieval systems is a strong plus Strong interest in research-driven engineering: reading papers, evaluating tradeoffs, building prototypes, and turning ideas into production systems Experience with performance optimization and systematic debugging is a strong plus, especially around CPU/GPU execution, SIMD, memory layout, concurrency, I/O, or large-scale data processing Interest in using AI tools to improve research, coding, testing, benchmarking, documentation, and performance analysis How we operate: Research-driven, production-focused: We track frontier algorithms, but care most about whether they work under real data scale, real query patterns, and real production constraints Extreme performance: We care about every memory access, every query path, and every tradeoff between recall and latency AI-first engineering: We actively use AI to accelerate paper reading, prototyping, coding, testing, documentation, and performance analysis, but human judgment and engineering taste still matter most Fast and pragmatic: We work on hard vector indexing and retrieval problems, but we ship them into Milvus, Zilliz Cloud, and Vector Lakebase Open source by default: Milvus is a core part of our engineering culture, and strong indexing capabilities should stand up to public design, code, and community usage Benefits: Competitive compensation (cash + equity) Regular bonus and equity refresh opportunities Medical, dental, and vision insurance Paid time off, including vacation, sick leave, and global reset/wellbeing days Generous 401(k) and regional retirement plans
Lab Automation - Robotics Engineer
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are building a next-generation lab automation and robotics platform to transform how biological experiments are executed, monitored, and scaled. This platform will bring together robotic arms, mobile platforms, lab instruments, sensors, computer vision, workflow orchestration, and AI-enabled autonomy to increase the speed, reliability, reproducibility, and scale of experimental biology. As a Robotics Engineer, Lab Automation, you will help turn real scientific workflows into robust automated systems. You will work closely with biologists, chemists, automation engineers, software engineers, and robotics experts to understand manual laboratory processes and translate them into reliable robotic execution. This is a hands-on engineering role for someone who enjoys building, integrating, testing, and debugging physical systems. You will contribute to robotic manipulation, instrument integration, perception, task execution, simulation, and multi-station lab automation workflows. You will also have opportunities to grow into more advanced robotics, autonomy, and AI-enabled laboratory automation over time. What You’ll Do - Build, integrate, and maintain robotics software for robotic arms, mobile robots, sensors, grippers, and laboratory automation devices. - Develop motion planning, manipulation, perception, and safety logic for robotic systems operating in real laboratory environments. - Integrate laboratory instruments and devices through APIs, IoT interfaces, schedulers, and custom control software. - Help build task execution frameworks using state machines, behavior trees, planners, and recovery logic for autonomous or semi-autonomous lab workflows. - Benchmark and integrate computer vision methods for object detection, segmentation, tracking, pose estimation, localization, and scene understanding. - Create and use simulation or digital twin environments for motion validation, workflow testing, synthetic data generation, and system debugging. - Collaborate with scientists to translate biological and chemical workflows into automated protocols. - Support multi-station system integration, automated material handling, sample tracking, validation, logging, and error recovery. - Work hands-on with physical hardware to debug real systems, improve reliability, and iterate quickly. - Evaluate modern AI, autonomy, foundation-model, reinforcement-learning, or imitation-learning approaches where they can improve real robotic lab execution. Qualifications (Required): - Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field. - Recent graduates with strong robotics, automation, hardware/software integration, or relevant project experience are encouraged to apply. - PhD candidates are welcome to apply, particularly if they are excited by hands-on robotic system building, integration, and lab automation. - Strong software engineering skills in one or more modern programming languages (e.g., Python, C++, C#), cloud-based workflows, and production software systems. - Familiarity with robotics software frameworks such as ROS2, MoveIt, or comparable tools. - Familiarity with computer vision, perception, motion planning, robotic manipulation, or sensor integration. - Comfort working with physical hardware, debugging real systems, and learning by doing. - Strong problem-solving skills, attention to detail, and ability to work across disciplines. - Ability to communicate clearly with scientists, automation engineers, software engineers, and robotics experts. Preferred Qualifications: - Experience with 6-axis robotic arms, autonomous mobile robots, grippers, machine vision systems, or automated material handling. - Experience with OpenCV, object detection, segmentation, tracking, pose estimation, SLAM, localization, or scene understanding. - Experience with Foxglove, Isaac Sim, MuJoCo, Gazebo, or other robotics simulation and debugging tools. - Experience integrating laboratory instruments such as liquid handlers, plate hotels, incubators, readers, and microscopes. - Experience with agentic AI frameworks (LangGraph, OpenAI Agents SDK, AutoGen, PydanticAI), Model Context Protocol (MCP), or AI systems that integrate language models with external tools and software. - Familiarity with biological or chemical assays such as PCR, gel electrophoresis, DNA quantification, microscopy, high-throughput screening, or cell-based assays. - Experience with CAD, 3D printing, laser cutting, CNC machining, or rapid prototyping. - Exposure to GPU-accelerated inference (CUDA, TensorRT, ONNX), edge deployment, foundation models, reinforcement learning, imitation learning, behavior trees, autonomous task planning, or agentic robotics systems. What We Offer: - The opportunity to help build a state-of-the-art automated biology laboratory from the ground up. - Hands-on experience developing robotic systems for high-throughput, data-generating biological labs. - Exposure to robotics, lab automation, data infrastructure, and AI-enabled experimental systems. - Structured mentorship from experienced robotics, automation, software, and scientific leaders. - The opportunity to work with a passionate, interdisciplinary team on ambitious drug discovery projects. - A dynamic, innovative, and supportive work environment. - Professional growth and development opportunities in a rapidly growing company. Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 - $180,000 annually; however, the base pay offered will vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Human Data Manager
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: You will ensure engineering teams get the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects. You sit at the intersection of model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. This is a hands-on role for people who understand training and evaluation deeply and want to influence data strategy. RESPONSIBILITIES: - Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies. - Own end-to-end delivery of critical data and evaluation projects that capture meaningful training signals and support rapid model development. - Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage). - Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity. - Research and apply techniques for data collection, annotation, generation, and multi-modal integration. - Shape Grok’s behavior and domain performance through targeted data work; improve annotation workflows using agents and no/low-code approaches where helpful. - Manage plans that shape model behavior via data management, optimization, and analysis, including resources and timelines. - Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing. - Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions. BASIC QUALIFICATIONS: - Bachelor’s degree, or 4+ years of relevant experience in lieu of a degree - Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups) - Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems PREFERRED SKILLS AND EXPERIENCE: - Degree in engineering, computer science, data analysis, or a related STEM discipline (Bachelor’s or higher) - Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems - Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data integrity - Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.) - Experience with model or dataset evaluations focused on quality, truthfulness, or alignment with product goals - Comfort using AI agents, no/low-code tools, or light scripting (e.g., Python) to prototype workflows and measurement - Experience with SQL or other data analysis tools ADDITIONAL REQUIREMENTS: - Weekend work may be required. - Travel to other SpaceXAI sites may be required. COMPENSATION AND BENEFITS: $100,000 - $186,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
Staff Validation Systems Engineer, AI Validation
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ ABOUT OUR ENGINEERING TEAMS Wayve’s engineering teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale. ABOUT AI VALIDATION The AI Validation team develops the strategies, evidence, metrics, and test systems that build confidence in the Wayve AI Driver. Both locations translate ambiguous product and safety questions into validation plans, scenarios, metrics, coverage, acceptance criteria, and evidence for release decisions—but the product scope and candidate profile differ by location. This role focuses primarily on ADAS and L2 autonomy functions. It works closely with automotive and OEM expectations, including product, customer, safety, and regulatory requirements. The role can be hired as a TC4 individual contributor or an M4 manager with responsibility for technical direction and team delivery. 🧠 YOUR DAY-TO-DAY - Translate product, systems, and safety requirements into validation strategies, test scenarios, metrics, coverage requirements, and acceptance criteria. - Work hands-on with Python, evaluation pipelines, test implementation, simulation, and data analysis. - Analyse results and communicate findings, risks, and evidence to Product, Safety, Release, and Autonomy Engineering stakeholders. - Coordinate data, simulation, and evaluation dependencies so validation can run reliably and at scale. - Develop comprehensive verification strategies for ADAS and L2 autonomy functions. - Translate customer, OEM, safety, and regulatory expectations into practical validation evidence. - Build test suites spanning simulation and physical testing environments. - At M4, provide people leadership and coordinate validation delivery across the team; at TC4, provide senior technical ownership as an individual contributor. 🧩 WHAT YOU’LL BE WORKING ON - ADAS functions such as lane keeping and other assisted-driving capabilities. - Validation strategies aligned with automotive OEM development, customer expectations, SOTIF, and emerging AV-industry standards. - Simulated and physical test environments, comprehensive coverage, and evidence-based release decisions. - Python-based evaluation tooling, SQL and scalable data analysis, behavioural metrics, test coverage, and automated validation execution. 🙌 YOU SHOULD APPLY IF - You understand how automotive companies and OEMs develop and validate ADAS or L2 autonomy products. - You can translate customer, safety, regulatory, and product expectations into structured validation strategies. - You have hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows. - You can use Python professionally and are comfortable with SQL or similar large-scale analysis tools. - You have validated complex systems in simulation, the real world, or both. - You communicate clearly, document decisions well, and can own ambiguous problems from concept through evidence and recommendation. - ML, computer vision, motion planning, SOTIF, safety validation, or modern AI-tooling experience is advantageous. - For the M4 scope, you have experience leading people or coordinating a validation function; for TC4, you bring strong senior individual-contributor ownership. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. MORE ABOUT WAYVE 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale. Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2+ through to L4. HOW WE WORK 💻 — LOCATIONS & FLEXIBLE WORKING This role is based in London. We operate a hybrid model combining in-person collaboration in our offices and workshops with focused time working remotely. 🔍 THE INTERVIEW PROCESS - Initial call / recruiter screen (25 min) - Hiring Manager Screen (60 min) - Deep-dive technical interviews covering systems and domain expertise (4 hours) - Final interview focused on mission and values alignment (60 min) We’ll always explain the format and work around your availability. WHAT’S IN IT FOR YOU (LOCATION DEPENDENT) - 💰 Salaries benchmarked against the market annually - 📈 Meaningful equity - ✈️ Relocation support and visa sponsorship where applicable - ✅ Hybrid working and hands-on access to workshops and labs - 📚 Learning and development support - 🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Staff ML Performance Engineer
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Performance Architecture team is part of Wayve's AI Performance org. We make Wayve's AI workloads faster and more efficient across training and cloud inference, so that performance unlocks new product capability. Our work lets Wayve train larger models faster and run inference more efficiently at scale. 🧠 Your day-to-day You'll identify, quantify and deliver optimisations across training and cloud inference workloads. You'll profile workloads to find bottlenecks, build optimisations that work across targets rather than one-off fixes, and track the gains with clear benchmarks. You'll work closely with Research and model teams to make performance engineering part of their development cycle, and with platform teams on cloud GPU hardware strategy. 🧩 What you'll be working on - Profiling ML workloads across training and cloud inference to identify bottlenecks, using system and kernel level profilers - Designing and implementing efficiency improvements to maximise MFU, throughput and utilisation, e.g. parallelism, compilation, mixed precision, caching - Building reusable, cross-target optimisations (kernels, data loaders, frameworks such as Triton) rather than one-off, per-workflow fixes - Designing and implementing benchmarking tools to track efficiency gains and catch regressions on priority training and cloud inference workloads - Informing cloud GPU hardware strategy and readiness in partnership with platform teams - Building a culture of performance optimisation with Research and model teams 🙌 You should apply if - You have 10+ years of industry experience driving performance engineering across ML systems, GPU compute infrastructure, distributed platforms or similar - You have optimised large-scale workloads on GPU compute clusters, for training, inference or both - You have written, reported and tracked performance benchmarks in an open and accessible way - You write high quality, well-structured and tested Python code - You have a BS or MS in Machine Learning, Computer Science, Engineering or a related technical discipline, or equivalent experience Nice to have: - Experience with concurrent, parallel and distributed computing - Experience optimising inference serving systems (e.g. latency, throughput, batching, caching) - Experience using NVIDIA Nsight Systems or other system profilers - Experience implementing GPU kernels (CUDA, Triton, etc.) - Knowledge of computing fundamentals - what makes code fast, secure and reliable 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen - Deep-dive technical interviews (Programming, System Design, Domain, Technical Leadership) - Final interview: mission & values alignment We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Senior Data Scientist
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams As a Data Scientist supporting AI Engineers, you will partner with one or more engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver. Through experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety and performance of the Wayve AI Driver. 🧠 Your day-to-day You will work closely with engineering and cross-functional partners to turn data into clear, practical direction. Your findings will help teams understand performance, validate product requirements and prioritise the opportunities that matter most. You will be comfortable working asynchronously across time zones, communicating findings clearly and compellingly, and influencing team direction through evidence. 🧩 What you’ll be working on: - Formulating and iterating on the performance metrics that organise our engineering efforts and guide progress towards commercial success. - Designing experiments and targeted off-road measurements to help ensure we deliver customer product requirements while maintaining safety and performance. - Investigating factors in model training and inference that create bottlenecks in functionality and performance. - Identifying, testing and validating hypotheses that can unlock improvements to the Wayve AI Driver. - Summarising, visualising and communicating findings in an accessible way that supports prioritisation and strategy. 🙌 You should apply if: - You have 3+ years of experience in a Data Science role. - You are fluent in querying and building large datasets, including writing production-level SQL for data-transformation pipelines. - You have experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics. - You have strong statistical foundations, including selecting appropriate distributions and testing the assumptions behind frequentist statistics. - You are proficient in a statistical scripting language and data science or machine-learning packages, such as Python with pandas, sklearn, statsmodels or scipy, or R with dplyr, caret or stats. - You are skilled at summarising, visualising and communicating findings in an accessible and compelling way. - You have influenced team direction through your findings and bring a bias towards actionable insight that can drive prioritisation and strategy. - You are comfortable working asynchronously across time zones with cross-functional partners. - You are deeply curious about building something new and excited by the opportunity to help define AV2.0 and how we build it. It would be great if you also have: - Practical machine-learning experience, for example with PyTorch, and a passion for taking research ideas to production. - A track record of promoting statistical rigour and experimental best practices. - Experience with causal inference, econometric techniques or Bayesian methodologies for hypothesis testing. - Experience working with large datasets and distributed computing technologies, such as Spark, Hadoop or other map-reduce tools. - Experience working in a fast-moving technology company or startup. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand-coded rules or pre-mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once-in-a-generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human-driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2+ through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real-world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen (30 mins) - Competency interviews (Hiring Manager interview and SQL or Python programming interview) 45/60 min - Deep-dive technical interviews (Quant Domain interview and Causal Inference Case Study) 60 min each - Final leadership interview (30 mins) We’ll always explain the format and work around your availability. What’s in it for you: 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long-term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more. A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Principal Engineer, Model Development Platform
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Model Development Platform team builds the infrastructure and tooling behind Wayve's AI model lifecycle, from data ingestion and training to experiment scheduling and on-road testing. Our work spans AI research, large-scale distributed systems and robotic operations, and lets researchers and engineers iterate fast and deploy autonomous driving models safely. 🧠 Your day-to-day As Principal Engineer, you'll own the end-to-end architecture of the platform and keep it reliable, scalable and coherent. You'll partner with the Head of Model Dev Platform to set and execute the technical vision, aligning infrastructure and tooling with company goals. You'll lead by example, going deep across web applications, distributed compute, ML Ops, data pipelines and optimisation algorithms, and through architecture and mentorship you'll help teams build platform capabilities that measurably speed up model development and fleet learning. 🧩 What you'll be working on - System architecture and reliability: designing and evolving the platform's architecture for reliability, observability and scalability, setting performance, latency and availability targets, and driving the engineering standards to meet them - Cross-domain technical leadership: unifying the platform across front-end UIs, distributed training, Spark data pipelines and optimisation-based experiment scheduling, so systems work together cleanly - Hands-on problem solving: taking on the hardest problems across subteams, leading architectural reviews and proposing pragmatic solutions that balance innovation with operational simplicity - Experimentation and scheduling systems: building systems that optimise how models are tested in simulation and on-road, using techniques like linear programming and heuristic optimisation to balance hardware, safety and research priorities while improving throughput and turnaround - Data and compute infrastructure: architecting pipelines that ingest, transform and enrich petabytes of fleet sensor data, and driving efficient compute use across GPU, CPU, cloud and edge for prototyping and large-scale training - Strategic collaboration: working with Product, Research and Operations to align architecture with user needs, and co-owning the platform's long-term roadmap 🙌 You should apply if - You have 10+ years designing and building large-scale distributed systems, ML/AI infrastructure, full-stack web applications or developer platforms, including at least 3 years as a staff or principal-level engineer - You have designed systems spanning web platforms, ML pipelines and large-scale compute orchestration (e.g. Spark, Ray, Kubernetes, Airflow, MLflow) - You have driven platform reliability improvements, defined SLAs/SLOs, and built self-healing, observable systems that run at "four nines" availability or better - You understand distributed computing, workflow orchestration, data modelling and API design in depth, and can write and review production-quality code - You communicate well across functions and can guide engineers, managers and researchers toward a unified technical direction - You have mentored engineers across levels and built a culture of engineering excellence Nice to have: - Experience applying algorithmic or mathematical optimisation (e.g. linear programming, graph algorithms) to operational or scheduling problems - Familiarity with end-to-end model lifecycle tooling, from data ingestion and training CI to model artifact tracking and evaluation workflows - Prior exposure to autonomous systems, robotics or other safety-critical domains - Experience with modern web frameworks (e.g. React, Flask, FastAPI) and how they integrate with backend systems - Understanding of data privacy, compliance and secure handling practices for large-scale sensor data 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen - HM meeting - Deep-dive technical interviews [programming, system design & domain-specific interviews; 4 hours total] - Final interview: mission & values alignment We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Machine Learning Manager, Application Software
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams We’re looking for an exceptional technical leader to spearhead our new Japan-based Application Engineer team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the Japanese market. This is a unique opportunity to shape Wayve’s AV capabilities in Japan from the ground up. 🧠 Your day-to-day As the founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning and systems integration. You’ll drive development of autonomy features tailored to Japan’s road infrastructure, cultural driving behaviours and regulatory landscape, so that our AV stack performs safely and effectively in this distinctive environment. Given the distance and time zone difference from our London HQ, your team will operate with significant autonomy, so we’re looking for someone who thrives in self-directed, startup-like conditions: able to set a vision, execute fast and make robust decisions independently, while staying aligned with global engineering efforts. This role requires breadth. Strong experience across AV systems, including robotics and autonomy, is essential, and deep expertise in machine learning is a major plus. 🧩 What you’ll be working on: ESSENTIAL - A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments. - Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings. - Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision. - Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration. - Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones. - Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations. DESIRABLE - Prior experience in autonomous vehicles or robotic systems operating at scale. - Familiarity with Japan’s road environment, driving behaviour, or AV regulatory landscape. - A strong foundation in machine learning and its application to real-time decision-making or perception systems. - Japanese language proficiency (not required, but useful for day-to-day coordination). 🙌 You should apply if: Essential - A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments. - Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings. - Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision. - Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration. - Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones. - Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations. Desirable - Prior experience in autonomous vehicles or robotic systems operating at scale. - Familiarity with Japan’s road environment, driving behaviour, or AV regulatory landscape. - A strong foundation in machine learning and its application to real-time decision-making or perception systems. - Japanese language proficiency (not required, but useful for day-to-day coordination). 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen (30 mins) - Competency Interviews (Leadership and management, and applied ML; 2 hours total) - Deep-dive technical interviews (Python programming and system design for autonomy; 2 hours total) - Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Staff Software Engineer/ Tech Lead - Onboard Model...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Architecture & ML Integration (AMI) team sits within SIML and focuses on horizontal, cross-cutting challenges spanning Waymo's end-to-end system. Our mission is to enable rapid evolution towards an ML-first architecture that is modular, flexible, and easy to experiment with. We do this by improving onboard software architecture, system debuggability, and developer experience through better API designs and comprehensive pipelines. The AMI team drives the convergence of Planner and Perception systems and tackles critical shared infrastructure components You will: - Have 8+ years of professional software development experience on large scale products - Lead the software architecture and infrastructure development for onboard model consolidation across many onboard subsystems. - Design and build an onboard framework to support flexible and efficient model integration and inference in Waymo’s onboard and simulation environments. - Spearhead the alignment and unification of model’s data generation subsystem between model training data preparation and model inference. - Develop Simulation solutions to enable robust testing and efficient evaluation/validation to enable good developer experience for consolidated model development. - Embedded deeply with model teams to drive the productionization of unified models. - Establish new software development best practices and technologies to accelerate model development and releases. You have: - BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience) - Extensive experience designing and building large-scale, high-performance C++ software architecture for mission-critical systems or ML inference. - Proven track record of leading complex, cross-functional engineering projects as a technical lead. - Deep understanding of ML deployment, inference frameworks, and associated developer tooling. - Good communication and collaboration skills working with cross-org partner teams We prefer: - Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field. - Experience with data pipelines and feature extraction for machine learning models. - Prior experience in the autonomous driving industry, particularly focusing on onboard compute, perception, or planning systems. - Experience with hardware accelerators (e.g., TPUs, GPUs) and ML models inference in edge/onboard environments. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000 - $310,000 USD
Staff Data Scientist
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous behavioral evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead key initiatives for measuring the quality and trustworthiness of the behavior evaluation portfolio at Waymo, continuously identify and drive opportunities for improving the evaluation and testing methodologies, and partner closely with product and engineering teams to develop scalable solutions for monitoring and enhancing the health of the evaluation ecosystem. You will play a key role to ensure the behavior evaluation at Waymo is efficient, scientifically rigorous, and supporting Waymo’s growth priorities. In this hybrid role you will report to a Data Science Lead. You will: - Lead a roadmap to develop methodologies and Key Performance Indicators to measure the quality, cost efficiency, and business relevance for various behavior evaluation solutions at Waymo. - Directly influence the portfolio of evaluation signals relied on by hundreds of software engineers to ensure their changes in the Waymo Driver are having positive intended impacts. - Conduct deep dive analysis to understand performance bottlenecks in current evaluation methodologies, propose and prototype improvements in metrics, sampling strategy, statistical inference, etc. - Become an expert in Waymo’s evaluation ecosystem for onboard software. Understand how a broad variety of evaluation signals affect Waymo’s launch decisions, develop strategies for evaluating trade-offs, and provide actionable insights for designing launch criteria. - Collaborate with product and engineering teams to build solutions for assessing Waymo’s evaluation portfolio at scale and accelerate the development for new evaluation. - Collaborate with owners of various evaluation solutions, develop feedback loops to surface insights on evaluation quality to stakeholders and drive actionable plans for continuous improvement. You have: - Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) - Either a PhD in a quantitative field and 5+ years of industry experience, or 7+ years of industry experience solving data science problems - Solid statistical background. Expertise using advanced statistical methods in an applied setting (e.g., experimentation design, causal inference, etc); familiarity with ML systems/models - Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL - Strong communication/leadership to address a high surface area across different organizations and products - Ability to navigate through ambiguous business requirements and propose a clear technical solution We prefer: - PhD in a quantitative field - Experience developing production-grade software and tools - Experience as the technical lead for a broad data science area. A demonstrated track record of independently driving data science projects to deliver business value - Experience with large-scale evaluation frameworks or experimentation/data platform for software development and machine learning systems - Experience solving problems related to Autonomous Driving or Ride Hailing The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000 - $302,000 USD
Senior Staff TLM, Data Mining and Sampling for ML...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team’s job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: - Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data - Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets - Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities - Make hands-on technical contributions to both engineering and data science-oriented projects - Provide strong management and technical leadership for a small team of data science-friendly engineers - Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: - Strong engineering design and programming skills - Strong data fluency and analysis skills - Familiarity with statistical methods including hypothesis testing, experiment design, and sampling - Familiarity with foundational and contemporary ML concepts and practices - Experience managing teams of up to 8 people - BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area - 7+ years of industry experience with: - C++, SQL, and Python experience - Navigating and modifying a large code base containing C++, SQL, and Python - Building data processing pipelines We prefer: - Eval experience, such as building and validating metrics to measure quality in complex systems - Strong statistical background (MSc-level stats or similar expertise from work experience) - Strong ML background (MSc-level ML or similar expertise from work experience) - Experience working in the AV industry and/or with simulations The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000 - $356,000 USD
Senior Software Engineer, ML/Eval Data Platforms &...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: - Develop and productionize data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software. - Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions. - Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete. - Own and execute complex projects, successfully translating ambiguous requirements into high-impact deliverables. - Collaborate cross-functionally with Data Science and Quantitative Analytics teams to identify their data needs and engineer infrastructure solutions. You have: - Education: Master’s degree or PhD in Computer Science, Engineering, or a related technical field. - Experience: 3+ years of professional software engineering experience. - Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale. - Programming Languages: Proficiency in C++ or Python within a production environment. - Communication: Strong technical communication and collaboration skills. We prefer: - Experience with A/B experiment infrastructure. - Exposure to ad-hoc data analysis utilizing SQL. - Prior experience working within the autonomous vehicle (AV) industry. Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000 - $263,000 USD
Senior Machine Learning Engineer, Simulation
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulator team builds state-of-the-art simulations of realistic environments for the testing and training of the Waymo driver. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather. To increase the fidelity and steerability of the simulations, we employ large foundation models, trained on our massive datasets that allow us to quickly setup and rollout multiple scenarios to subject our driver to. We have set up a team in London UK to work with the teams in MTV and Oxford to build these foundation models out and to integrate them into several evaluation and training products. We are looking for research engineers to work on these exciting problems. In this hybrid role, you will report to an Engineering Manager. You will: - Be part of a world class research engineering team to grow the state-of-the-art of ultra realistic AV simulations using foundation models - Collaborate with teams in Waymo Oxford to use large models to improve sim realism - Design experiments that push the frontiers of AV simulations - Develop metrics that measure the realism of simulated worlds - Train and evaluate large models and integrate them into the simulator and its downstream applications - Help hire outstanding research engineers from diverse backgrounds - Be a part of a collaborative research engineering team that takes research ideas and productionizes them We prefer: - 4+ years experience in applied Deep Learning - 4+ years coding and design skills - Experience solving complex production problems using state-of-the-art ML techniques - Experience taking research to production - Expertise in Data Analysis or Data Science The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range £123,000 - £129,000 GBP
Business System Analyst, ServiceNow Solution Archi...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to Business System Lead. You will: - Lead the architectural design, development, and implementation of enterprise ServiceNow solutions like HRSD, ITSM, WSD and Custom Apps, seamlessly embedding AI-powered features across the platform ecosystem. - Architect and implement complex integrations between ServiceNow, external APIs, and large language models (LLMs) using Integration Hub and Custom Skill Kits. - Design, build, and deploy custom generative AI workflows and contextual prompts using Now Assist Skill kit - Establish code governance, standard development patterns, and rigorous security guardrails for AI agent orchestration and autonomous workflows. - Partner with data and business teams to evaluate and clean foundational data sources (like CMDB) to ensure high-accuracy AI retrieval performance. - Develop a framework for prompt engineering, Automated Test Frameworks (ATF), and platform upgrade strategies. You have: - 6+ years of software development experience, with at least 4 years specialized in ServiceNow architecture and advanced script configurations. - Deep hands-on experience implementing ServiceNow generative AI solutions, including Now Assist or custom intelligent chatbots. - Mastery of client/server scripting (JavaScript, GlideScript) and the ability to customize Service Portal widgets to accommodate AI user experiences. - Strong understanding of Retrieval-Augmented Generation (RAG) frameworks, data structures, and how search algorithms function within enterprise knowledge bases. - Proven track record managing multi-environment Update Set promotions, release cycles, and technical debt reduction strategies. - Exceptional technical communication skills, with the ability to confidently present complex AI solutions and ROI metrics to business executives. We prefer: - Platform certications, such as ServiceNow Certified Technical Architect, ServiceNow Certified Application Developer (CAD) or ServiceNow implementation specializations. - Experience working with AI Control Tower - Hands-on exposure to advanced product lines such as IT Operations Management (ITOM) or Security Operations (SecOps). - Background in data analytics tools (BigQuery) or advanced Performance Analytics for modeling operational automation trends. - Active engagement with modern DevOps pipelines and source control integrations within the ServiceNow platform environment. - A Bachelor's or Master's degree in Computer Science, Machine Learning, or a closely related quantitative STEM field. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $168,000 - $207,000 USD
2027 Summer Intern, PhD, Software Engineer, Simula...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: - Implement uncertainty aware algorithms that improve the performance of transformer-based multi-task classifiers - Implement the changes end-to-end, including eval - Ensure both data and model implementation are correct according to the experiment plan. Pay attention to details about the mechanics of the modeling setup You have: - Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related quantitative field - Strong programming proficiency in Python and hands-on experience with deep learning frameworks (e.g., TensorFlow, JAX) - Solid theoretical understanding of machine learning and deep learning fundamentals, including debugging transformer based models with TensorBoard metrics - Familiarity with software development best practices, including version control We prefer: - Uncertainty measurement in deep learning model development - Hands-on experience using data to improve model performance, as opposed to only focusing on architectural model improvements General Perks - Help solve challenging problems with a direct impact on the company - Competitive compensation packages with a housing/relocation bonus (if applicable) - Medical, dental, and vision insurance - Fun intern events and networking opportunities Onsite Perks - Free breakfast, lunch, dinner, and snacks - Free access to Google shuttles - Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 - $85 USD
2027 Summer Intern, PhD, Data Science
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Data Scientists at Waymo work on a wide variety of evaluation and modeling problems, including safety evaluation, the simulation technology, driving quality and rider experience. Furthermore, data scientists conduct rigorous analysis of the Waymo Driver performance across software releases, new territories, hardware generations, and throughout the software development process. This role works with a variety of teams across the company to inject data science rigor and perspective, and to influence development direction in many of the critical systems in self-driving technology and fleet operations. As a Data Science intern, you may join one of these Data Science Subteams: - World Model Eval - Safety Eval Tech - Data Science Safety - Driving Quality Data Science - Simulation Data Science - Pre-Release Data Science - Expansion Discovery Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! In this internship, you might: - Analyze large-scale on-road and simulation data to build metrics, statistical models, and predictive features that quantify the Waymo Driver's safety and driving quality performance - Develop and enable rigorous evaluation of the Waymo Driver through curating a principled portfolio of tools to assess and inform software development at scale - Inform development work on the Waymo Driver by leveraging quantitative analysis to provide early behavioral evaluation of software releases and provide actionable insights for Waymo’s expansion efforts into new territories and hardware platforms - Take challenging open-ended research problems and translate them into concrete solutions or prototypes in an empirical setting (e.g., publications, open-source project contribution, internal tools) - Develop and validate statistical / ML methodology — estimation, uncertainty quantification, sampling, and extrapolation — to use or evaluate large-scale foundation models and draw reliable conclusions about rare and critical events from limited data - Build tools and pipelines that turn one-off analyses into repeatable workflows, partnering with engineering teams to automate data exploration, triage, and reporting You have: - Pursuing PhD in a quantitative field (e.g. Statistics, Computer Science, Mathematics, Physics, Engineering, Computational Social Science) - Proficiency in programming with Python (or R), including data manipulation, wrangling, and visualization - Strong statistical theory foundation We prefer: - Experience in machine learning applications and complex data analysis, or familiarity with SQL and/or C/C++ - Experience in processing and interpreting high dimensional data such as images/videos - Demonstrated research capabilities through publications and a strong understanding of statistical methodologies and foundation models - Prior internship experience (Autonomous Driving and generative AI preferred) General Perks - Help solve challenging problems with a direct impact on the company - Competitive compensation packages with a housing/relocation bonus (if applicable) - Medical, dental, and vision insurance - Fun intern events and networking opportunities Onsite Perks - Free breakfast, lunch, dinner, and snacks - Free access to Google shuttles - Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 - $85 USD
2027 Summer Intern, MS/PhD, Software Engineer, Onb...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. The subteam for this role will be: The Onboard developer platform team builds tools/solutions that enable faster model training, quality evaluation, simulation so that Waymo engineers can develop better autonomous driving models and systems. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: - Understand the problem current LPM model is trying to solve along with its details - Extend current reinforcement learning infrastructure and conduct experiments on our RL system. Tune parameters and compare with existing results - Identify promising new RL technologies and apply on Waymo problems You have: - Currently pursuing a Master's or PhD in software engineering, machine learning, or a related technical field - Fundamental understanding of machine learning and reinforcement learning - 2+ years of project experience involves coding and realized achievements (you are proud of the results) We prefer: - 3+ years of experience on ML or RL with hands-on projects - 2+ years of experience on optimizing system infrastructure ( simulation, ML/RL, or other backend systems) - Experience in working with autonomous driving or relevant technologies General Perks - Help solve challenging problems with a direct impact on the company - Competitive compensation packages with a housing/relocation bonus (if applicable) - Medical, dental, and vision insurance - Fun intern events and networking opportunities Onsite Perks - Free breakfast, lunch, dinner, and snacks - Free access to Google shuttles - Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 - $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 - $85 USD
2027 Summer Intern, MS/PhD, Sim-Realism ML Infrast...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: - Currently enrolled in a Master's or PhD program in Computer Science, or a related technical field. - Contribute to existing projects maintaining millions of multi-modal examples and PiBs of feature data. . - Implement new systems to improve existing workflows. - Work with users and agents to identify use cases and flows that can be improved. You have: - Python / C++ Coding. - Distributed Systems. - Familiarity with ML training and inference lifecycles. We prefer: - Hands on experience with feature extraction, feature representations, distributed storage. - Experience with deep learning frameworks, TensorFlow, Jax. - Experience with autonomous driving and / or robotics. Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected annual pay for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Masters Pay £65,000 - £65,000 GBP The expected annual pay for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. PhD Pay £80,000 - £80,000 GBP
2027 Summer Intern, MS/PhD, Machine Learning, Simu...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: - Develop core simulator functionality used for evaluating internal models for safety evaluation - Design and implement metrics and evaluation infrastructure for simulated data You have: - Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field - Python, SQL - Experience in model evaluation and developing metrics - Experience developing models We prefer: - Previous Internship Experience - Experience writing backend software for robotics Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 - $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 - $85 USD
2027 Summer Intern, MS/PhD, AI-driven ML Performan...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. We are a team that designs and implements the hardware, compiler, and software frameworks for the ML accelerators in Waymo’s custom silicon. The team’s expertise spans all phases of custom accelerator production from architecture through software integration, and leverages Waymo’s decades of experience to optimize the design space for the needs of our autonomous driving software Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: - Work with AI agents to create high performance low-level kernels in a Domain-Specific language for a custom ML accelerator - Ensure functional correctness and numerical accuracy of kernels - Conduct performance analysis of the kernels to identify performance bottlenecks and areas that need improvement - Develop a custom harness to recursively improve kernel generation and remove the need for human involvement You have: - Currently enrolled in an MS or PhD program in Computer Science, Computer Engineering, Computational Science, or a related quantitative field - Demonstrated track record of using AI agents and harnesses to improve coding performance - Working knowledge of key kernels for transformer inference including performance analysis and optimization - Familiarity with one or more low-level ML accelerator DSLs (CUDA, Triton, Gluon, etc.) We prefer: - Solid understanding of modern inference accelerator architectures - Fluency in Python and/or C++ - Working knowledge of different ML numerical formats and their relative accuracy vs performance tradeoffs Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 - $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 - $85 USD
Applied AI Engineer
ABOUT WARP Warp is the AI-native Employee Management Platform for ambitious companies. HRIS, payroll, benefits, IT, tax compliance, and more, all built from scratch on one AI-native platform. Every company runs on its people, and the software that manages them is some of the oldest in the enterprise. Incumbents like ADP and Workday built their businesses on complexity and large ops teams. Warp is built for AI to be the primary operator. Every advance in LLM capability widens our lead. We process $X billion in annual payments for high-growth companies across all 50 US states + globally. We've raised $85M from Battery Ventures, Sapphire Ventures, Peak XV, Sound Ventures (Ashton Kutcher), and Y Combinator, alongside operators including Tobi Lütke (Shopify), Claire Hughes Johnson (Stripe), and the founders of Dropbox and Replit. Our team comes from MIT, Ramp, Brex, Google, Gusto, Rippling, and more. We hire people who ship constantly, own outcomes, and care about craft. If you want to automate an entire category of work that every company depends on, this is the place. About the Role High-growth companies spend thousands of hours on people operations: onboarding new hires, running payroll, managing benefits, provisioning devices, answering policy questions, approving time off and expenses. Most of that work still runs on spreadsheets, tickets, and people chasing people. We're building agents that do it for them. Warp Agent works in the background for HR, finance, and people teams. It gets new hires ready for day one, reviews expenses against policy, handles time-off requests, checks payroll before it runs, and reports on what's happening across the company. Customers hand it a receipt or a notice and it takes care of the rest. Because Warp runs the full employee lifecycle on one platform, the agent has the context to finish the work, not just suggest it. The hard part is trust. People data is the most sensitive data a company has, and people operations leave little room for error. Every agent action respects role-based permissions, so an IT manager's agent can provision a laptop without ever seeing anyone's salary, and every action is logged and auditable. We believe agents will soon do more work on Warp than people do. As an Applied AI Engineer, you'll build those agents, the runtime they operate on, and the systems that make them reliable enough to run a company's people operations. What You'll Do - Ship agentic features end to end, from the model call to the UI, across HRIS, payroll, benefits, IT, and more - Build and extend Warp Agent's harness: tool-calling, durable execution for long-running work (triggers, scheduling, wait and resume), and a run log that makes every agent action auditable - Design evals and guardrails for workflows where mistakes are costly, and decide when an agent acts on its own versus asks for approval - Build new agent workflows and expand what customers can configure and author themselves - Extend our permission model to agents so every action respects who the agent is working for - Build internal agents and tooling that remove manual work across Warp's own teams - Build new surfaces for interactions with Warp agent across the web app, employee app, mobile app, and slack - Collaborate directly with the CTO and CEO You'll Be Good for This Role If You - Have shipped LLM features that real users depend on in production, and know where they break - Think in systems: evals, observability, cost, latency, and failure modes - Are product-minded and care how an agent's work shows up for the person who delegated it - Get excited by hard domains where correctness matters more than demos - Use coding agents heavily in your own workflow and have opinions on what works What You Need - Strong full-stack engineering skills and expertise in a modern, strongly typed language - A track record of building production AI systems: agents, tool use, retrieval, or structured extraction - Experience designing reliable backend systems - High agency. You figure things out. - Willingness to work from our NYC office five days a week BENEFITS AT WARP: - 100% Health Coverage: Comprehensive medical, dental, and vision plans for you and your dependents. - 401(k) Matching: Start investing in your future from day one. - Unlimited PTO: We offer flexible PTO, meaning you’re trusted to take the time you need to recharge while balancing your responsibilities and team commitments. - Commuter Benefits: Pre-tax commuter benefits for your daily trip to our NYC office. - Catered Lunch Daily: Great food, every day, on us. No meal prep, no decision fatigue. - Quarterly Offsites: Beautiful locations to connect as a team. Past locations include Spain, Catskills, and San Francisco. Warp is based in New York City, and most of our team works together in-office 5x per week. Please refer to the top of this page for this position's hiring location and working model.
Senior Product Manager
Vectara provides an Agent Platform that allows organizations to rapidly create AI applications that are grounded in the context from their data and knowledge. Our end-to-end platform provides critical capabilities required for enterprise adoption: high accuracy even with incredibly complex data, powerful agent harness, comprehensive observability, ability to run in any environment (cloud, VPC, on-premise), and a flexible security model. We build AI for doing. We are passionate about helping users take advantage of breakthroughs in applied AI to solve problems and get stuff done. Our team is a group of unquestionable all-stars in their respective fields of computer science, design, and business. We are curious and always learning. Join us in our mission to help the world find meaning through trusted Generative AI. Role Overview: Vectara is looking for a Senior Product Manager based in Palo Alto to bridge the gap between our technical capabilities and our commercial success. As our leading PM, you will navigate the space between Product, Sales, and Engineering, translate market signals into a concrete roadmap, continuously refine our competitive edge, and align our go-to-market strategy with our product direction. You will leverage your sales acumen to anticipate the needs of your colleagues in the field and keep them armed with what they require to be successful. You will rely on your technical expertise to deeply understand our product and how customers use it to drive value. You will maintain a strong, collaborative relationship with Engineering and ML to maximize the impact of their work on roadmap delivery and customer success. As a Product Manager for a customer-obsessed company, you will relentlessly focus on the customer, framing everything in terms of the value we provide to them. Responsibilities: - Product Strategy & Execution : You’ll be responsible for the success of priority initiatives, from initial concept to market delivery. You will align our long-term company goals with customer requirements and competitive trends. - Product Roadmap : You will maintain a roadmap that is compelling to customers and exciting to the market. You’ll strike the right balance between tactical customer needs, competitive differentiation, sellability, and product vision. - Customer Engagement : You will be the product lead in key customer conversations and discovery sessions. You’ll validate our value proposition in real-time and communicate our product direction with authority. You’ll be responsible for ensuring fruitful design partner engagements, driving the process when needed. - Competitive Intelligence : Maintain an expert-level understanding of the AI landscape, especially around agents. You will turn these insights into actionable product decisions and sharper positioning for our sales team. - Commercial Strategy : Contribute to our packaging and pricing models as they evolve. You’ll help define value metrics and pricing approaches that balance revenue acceleration with margins, while acknowledging practical sales realities. - Product Definition : Maintain a problem-oriented product development process, first developing a deep understanding of the customer problem, then identifying a solution space, selecting options, weighting tradeoffs, and working jointly to find the best solution that achieves the goal within the constraints. - Cross-Functional Alignment : Serve as the primary point of coordination between internal teams, ensuring stakeholders are updated and aligned. You will ensure that product launches are well-supported with all required assets, that Marketing is saying the right thing, that Sales is selling the product the right way, and that Field Engineering effectively handles the customer feature requests. - Market Engagement : Effectively participate in our Analyst Relations program by influencing analysts in our favor and leveraging them for insights. Participate regularly in Field Marketing events, sharing the Vectara story. Qualifications: - 7+ years in Product Management (or equivalent experience) in B2B SaaS / enterprise software; meaningful experience working on AI/ML/Data products strongly preferred. - Located near Palo Alto and able to participate in customer meetings in-person when needed; comfortable representing our product and company externally. - Strong business and GTM instincts and experience shaping strategy, packaging, and pricing. You understand how products are sold and adopted in enterprise contexts. - You’re technical enough to collaborate effectively with engineers and AI teams. You can discuss concepts like agent harnesses, retrieval, embeddings, evaluation, hallucinations, latency, devops, and deployment models. - Track record of driving cross-functional alignment across Product, Engineering, Sales, and Marketing. - Articulate and clear communicator when writing and speaking. You’re able to reframe the same idea in various ways to suit an audience and can succinctly summarize complex ideas. - You’re scrappy and tenacious. You’ll always find a way to accomplish a goal. You don’t accept failure. - Comfortable operating in ambiguity. You can create structure, prioritize ruthlessly, and keep teams moving without perfect information. - Bonus: familiarity with semiconductor / hardware-adjacent industries or enterprise buyers (e.g., manufacturing, regulated industries). - Bonus: prior experience in competitive markets against modern AI startups, search, knowledge management, or enterprise platforms. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. A supportive, caring company culture that treats each team member with respect and empathy.
Member of Technical Staff, Agentic Developer Exper...
Vapi (/ˈVɑːpi/): - Voice AI that resolves, not transfers - Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life - Trusted by 1 million developers building the future of voice agents - Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised - Try talking to Vapi now! https://vapi.ai/ Vapi (/ˈVɑːpi/): - Voice AI that resolves, not transfers - Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life, Uber, NHS - Trusted by 1 million developers building the future of voice agents - Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised - Try talking to Vapi now! https://vapi.ai/ Why We’re Hiring This Role: - Vapi engineers are already building agent skills, workflows, and tools. We need a dedicated owner to turn these fragmented pieces into one reliable agentic development lifecycle. - We have an opportunity to connect sandboxes, CI, verification, and background agents into a cohesive system that compounds across every engineering team. - We want to ship 10× faster by building the frontier agent harness for real-time voice AI. Agents will place real calls, validate their work against Vapi-specific systems, and ship with confidence. What You’ll Do: - 30 Days: Map and instrument Vapi’s path from task to production, identify the largest constraints on agent effectiveness, and ship your first improvements to our sandbox environment, developer tooling, or validation infrastructure. - 60 Days: Launch the first production workflow in Vapi’s internal software factory. Give background agents the context, tools, sandbox, telemetry, and automated quality gates required to turn scoped tasks into review-ready PRs backed by real evidence. - 90 Days: Own and launch Vapi’s platform for autonomous, background engineering. Bring the ambition of Ramp Inspect https://builders.ramp.com/post/why-we-built-our-background-agent and Stripe Minions https://stripe.dev/blog/minions-stripes-one-shot-end-to-end-coding-agents to the technically novel and difficult frontier of real-time voice AI. Build a harness that lets agents place real calls, measure latency, conversation quality, inspect telemetry, and iterate to a verified result. Create the foundation that accelerates every engineer and puts Vapi on a credible path to shipping 10× faster. Who You Are: - You have built internal platforms, developer tooling, or infrastructure that materially changed how engineers build, test, and ship software. - You are a hands-on engineer with strong software fundamentals across distributed systems, platform architecture, API design, CI/CD, and monorepo or large-codebase workflows. - You have practical experience building agent harnesses and using coding agents such as Claude Code, Codex, Cursor, or open-source equivalents on real engineering work. - You know how to design secure agent interfaces, MCP integrations, and sandboxed runtimes where agents can call APIs, run CLI commands, and use general-purpose tools safely. - You have built or operated online and offline LLM evaluation systems and can reason clearly about accuracy, latency, reliability, and cost. - You are fluent in at least one of TypeScript, Python, or Go and comfortable working across containers, databases, queues, orchestration systems, and modern cloud infrastructure. - You stay current on frontier models and techniques such as prompt caching, context compression, retrieval, and multi-agent coordination, and you know when the newest tool is useful versus distracting. - You thrive in ambiguity, seek raw input, and turn fragmented experiments into simple systems that other engineers want to use. How We Work: - Build something worthy of love: Craft matters. We build products and experiences customers genuinely love, not just tolerate. - Commit and follow through: We finish what we start and build trust by being people others can count on. - Why not today? We value urgency and momentum. The fastest path to customer value usually wins. - Seek raw input: We go directly to customers, data, and teammates instead of relying on summaries or assumptions. - It’s our problem: We operate as one team. We share credit, own mistakes together, and support each other when things get hard. - Be direct and kind: We give feedback clearly, respectfully, and without delay. Why Vapi: - Generational impact: Build the human interface for every business - Ownership culture: 30% of us are previous founders - Kind team: The founders, Jordan and Nikhil, are Canadians - Tier-1 investors: YC, Kleiner Perkins, Bessemer, M12, Peak XV, and more What We Offer: - Real stake: We offer a competitive salary and equity ownership - Comprehensive health coverage: medical, dental, and vision plans - Team love: We love hanging out, and we do quarterly off-sites - Flexible time off: take what you need - More: catered meals, transportation, equipment, and a $10k annual L&D budget
Forward Deployed Engineer
V7 At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate. We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini). THE PRODUCT V7 Go is a platform for building and deploying custom AI agents, made for the document-heavy work finance and insurance teams handle every day. It takes multi-modal data and returns verifiable outputs with transparent logic, so accuracy and compliance come built in. It runs on the latest models too, including GPT, Claude and Gemini. Have a look at what we're building for finance https://www.youtube.com/watch?v=PIRJciI62Rc&t=2s and insurance https://www.youtube.com/watch?v=PSrH97RnHIw&t=5s. Most AI agents still behave like black boxes. They wander off-task, miss the context that matters, and make calls you can't check. Go Agents are different: predictable, transparent, and auditable at every step. - Build custom AI workflows https://www.v7labs.com/tables with controlled analysis at every stage. Every output comes with citations and a full audit trail, so the human in the loop can see exactly how it got there. - The Context Graph https://www.v7labs.com/context-graph makes all your data (across workflows, documents and integrations) queryable in one place, giving your agents the context to be properly useful. It's your institutional memory. The team you’ll be joining and the impact you’ll have - You'll join our go-to-market team as a forward deployed engineer, sitting at the intersection of sales and product in a company processing tens of millions of documents for customers across finance, insurance, and real estate. - V7 Go 4x-ed revenue last year, with 160%+ upsell into accounts. You'll help accelerate that trajectory by making sure every customer gets real value. - We run a lean, high-trust team where you'll work directly with AEs, engineers, and product to close complex deals and turn new logos into long-term champions. - Your work directly shapes how enterprises experience agentic AI for the first time and how quickly they believe in it. What you’ll be doing from day one - Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. - Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. - Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. - Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering. Who you are - You are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability. - You have experience in delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, solutions design/architecture, integrating different cloud providers, prompt engineering, and/or measuring AI accuracy. - You love coding with Python. - You can develop and articulate an AI solution vision to technical and business stakeholders, with customers and partners to match the value proposition to business needs. V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.
Principal + Staff Software Engineers
Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM. Our open-source toolkit has been downloaded 97M+ times and is used by 90% of the Fortune 1000. We power production AI workflows across commercial and federal sectors — transforming PDFs, HTML, Word docs, images, emails, and more into AI-ready data pipelines that scale. We're not just building tools; we're building the backbone of generative AI and the infrastructure that unlocks intelligence across industries. ABOUT THE ROLE Unstructured is looking for Staff and Principal Software Engineers to define the architectural foundation for how enterprises process and transform unstructured data for large-language-model (LLM) applications. This is a high-impact, hands-on role for someone who thrives in deep systems work—someone who could write the book on Kubernetes, lives and breathes Python, and understands Postgres at the index and transaction-log level. You’ll own the technical direction for our core platform, guiding how data moves through every layer—from ingestion to transformation to retrieval. You’ll partner closely with the Head of Engineering, Head of Infrastructure, and product leaders to ensure Unstructured’s systems are performant, resilient, and ready to support the next generation of AI-driven workloads. Location(s) Preferred: San Francisco, Bay Area, San Jose, Seattle, Sacramento WHAT YOU’LL OWN & DRIVE - Define and evolve the end-to-end architecture for Unstructured’s data transformation and retrieval platform. - Build and scale distributed systems that process massive volumes of unstructured data across diverse formats and sources. - Serve as the company-wide authority on Kubernetes orchestration, cluster design, performance tuning, and reliability. - Lead Python architecture and best practices—ensuring performance, modularity, and maintainability across services. - Design and optimize Postgres schemas, queries, and indexing strategies to support large-scale metadata and retrieval pipelines. - Mentor senior engineers through design reviews and code guidance, raising the bar for technical excellence across the org. - Partner with the infrastructure and product teams to translate research prototypes into production-grade systems. - Evaluate emerging technologies and open-source tools in LLM infrastructure, retrieval, and orchestration—deciding where and how to integrate them. WHAT WE'RE LOOKING FOR - Have 10+ years of software engineering experience with a focus on distributed systems, infrastructure, or data architecture. - Are a Python expert—capable of building frameworks and performance-critical services from scratch. - Have deep Kubernetes expertise; you can design, deploy, and debug at scale and could teach others how to productionize it securely. - Are fluent in Postgres—you understand query planning, partitioning, and tuning for high-throughput environments. - Are obsessed with clean, scalable architecture and can lead design reviews that shape how entire systems evolve. - Have experience in high-performance data or AI/ML systems—especially those involving retrieval pipelines, embeddings, or hybrid workloads. - Thrive in fast-moving, ambiguous environments where technical depth and judgment matter more than process. BONUS POINTS - Experience building or scaling LLM-powered or RAG systems in production. - Familiarity with open-source orchestration frameworks, vector databases, or hybrid cloud infrastructure. - Contributions to open-source projects in Python, Kubernetes, or distributed systems. WHY YOU'LL LOVE IT HERE You'll be surrounded by smart, kind, low-ego people who genuinely enjoy building together. We invest in our team with company offsites, best-in-tech swag, and the tools you need to do your best work, wherever you're based. We support you holistically, not just at work. From medical, dental, and vision coverage effective the 1st of the month following your start date, life and disability insurance, unlimited PTO, and flexible parental leave, to a 401(k) with company match, equity, a $500 work from home stipend, $70/month internet reimbursement, and team/company offsites throughout the year - we want you focused on building, growing, and staying energized for the long haul. If you're excited about what we're building, we'd love to meet you. Unstructured is proud to be an Equal Opportunity Employer. We're committed to building a diverse team and an inclusive culture where everyone can do their best work. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
Software Engineer, Inference
ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Software Engineer, Inference to own the reliability, scale, and efficiency of the systems that serve our models to real users. Our research and inference teams push the limits of model performance and serving efficiency; this role makes sure those gains reach production safely and stay up — powering Tinker's live, multi-tenant serving and the products built on top of our models. This is a production-facing systems role at the center of the company. You'll be the bridge between cutting-edge inference techniques and the day-to-day reality of serving real traffic: rollouts, capacity, incidents, and everything that keeps a fast-growing platform online. WHAT YOU'LL DO - Operate and scale the production inference systems that serve live traffic, including Tinker's multi-tenant serving platform - Own the rollout process for new models, model versions, and inference optimizations, ensuring safe, incremental deployment to production - Build and improve observability, alerting, and capacity planning so the team can detect, diagnose, and resolve production issues quickly - Partner with inference and research teams to productionize new serving techniques without compromising reliability - Lead incident response for production inference issues, driving root cause analysis and durable fixes - Design for graceful degradation, failover, and redundancy so that serving stays resilient as usage grows - Manage capacity and cost tradeoffs for serving infrastructure as traffic and model sizes scale SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - Experience operating large-scale, latency-sensitive production systems - Proficiency in Python and Go or another systems language - Experience with observability, monitoring, and incident response for production services - Strong understanding of distributed systems and how they fail at scale PREFERRED QUALIFICATIONS - Experience running production inference for large language models or other large-scale ML systems - Experience with deployment and rollout systems, such as canarying, blue/green deploys, or feature flags - Experience with capacity planning and cost optimization for GPU or TPU infrastructure - Familiarity with inference-specific techniques, such as batching, caching, or quantization, and their operational implications - Comfortable being on-call and leading incident response for critical production systems - Comfortable working with high autonomy in a fast-changing, early-stage environment LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Research Engineer, Web Crawling
ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE We're hiring a Software Engineer to build and own our web-crawling systems, from distributed collection at internet scale through filtering, deduplication, and deciding what data we keep. The ideal candidate has built and scaled a web crawler or large-scale data-acquisition systems. In this role, you'll write and own production systems: the crawler itself, the infrastructure that runs it at scale, and the pipelines that turn raw crawls into usable pretraining data. You'll work closely with our pretraining and data teams to understand what's actually moving model quality, but this is fundamentally an engineering role, not a research one. WHAT YOU'LL DO - Design and scale the web crawler and ingestion infrastructure that sources Inkling's pretraining data - Build pipelines for large-scale extraction, deduplication, and data quality filtering - Build specialized crawlers for high-value or hard-to-reach data sources - Work with the pretraining team to understand how changes in crawled data affect model performance - Improve the reliability and efficiency of crawling and ingestion infrastructure at petabyte scale - Help set technical direction for this area as it grows, and bring other engineers up to speed on what you've learned SKILLS & QUALIFICATIONS MINIMUM QUALIFICATIONS - 8+ years designing, building, and scaling web crawlers, scrapers, or large-scale distributed data-acquisition systems - A track record of owning crawler or data-acquisition infrastructure at internet scale - Strong software engineering skills in a language such as Python, Go, or Rust, with real experience in distributed systems - Working knowledge of the practical and legal considerations of large-scale web data collection (robots.txt, rate limiting, licensing) PREFERRED QUALIFICATIONS - Experience applying machine learning to crawl selection, extraction, or data quality classification at internet scale - Experience setting technical direction for a crawling, data acquisition, or search infrastructure team, whether or not that was your formal title - Experience designing systems for petabyte-scale storage and processing - Track record of open-source contributions to crawling, scraping, or data infrastructure tools - Background at a search engine (crawling, indexing) or a frontier AI lab's data acquisition team LOGISTICS - Location: This role is based in San Francisco, CA. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000-$475,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.
Model Designer
ABOUT THINKING MACHINES The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it. ABOUT THE ROLE As a Model Designer, you'll shape how our models work alongside people. You'll hold several things in tension: pushing what our models can do, anticipating what someone is reaching for before they've fully said it, and keeping the person's judgment at the center of the work rather than quietly replacing it. We're looking for people who care deeply about design, technology, and the humans on the other side of the screen, and who want to help invent forms of human-AI collaboration that go well beyond typing into a box and waiting. WHAT YOU’LL DO - Work closely with researchers to understand, predict, and shape model behavior, knowing that lasting behavior lives in the weights, not just the prompt. - Design how our models collaborate: when to take initiative, when to invite oversight or feedback, and how to earn the trust to act on someone's behalf over time. - Build strong, thoughtful defaults that serve as a starting point people can reshape around their own knowledge and values, rather than a single voice imposed on everyone. - Partner with research, product, and design teams on interfaces that widen the channel between people and models, including live and multimodal interaction. - Find creative ways to collect high-quality data, especially the tacit, hard-to-articulate knowledge people build through doing real work. - Help define what good looks like, with evaluations that capture what people and models accomplish together, not only what a model can do alone. - Proactively identify improvements based on product sense, user feedback, quantitative insight, and the research roadmap. - Manage multiple projects on tight timelines, and do whatever it takes to make our models better collaborators. SKILLS AND QUALIFICATIONS Minimum qualifications: - Clarity in communication, an ability to explain complex technical concepts in writing. - Demonstrated ability to understand users whose needs and contexts differ from your own, such as research across varied user populations, domains, or cultures. - Several years of experience in a role focused on how people interact with technology, such as product design, UX research, content or conversation design, or model behavior work at an AI lab. Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some: - Have past experience in designing model behavior or personality, or influencing technical roadmaps related to unverifiable domains. - Past experience in crafting research taste, model values, epistemics, or philosophies - Hands-on experience with large language models, including writing and iterating on prompts, evaluating outputs, and building an intuition for why a model behaves the way it does. - A portfolio or writing samples that show exceptional taste and clarity, ideally including work that shaped how a product or system communicates with people. - A track record of taking ambiguous, loosely defined problems from framing to shipped results, working across research, product, and engineering. - Experience designing and running experiments (qualitative studies, A/B tests, or model evaluations) and making decisions based on the results, including dropping ideas the evidence didn't support. - Comfort with quantitative analysis: you can read eval results, find patterns in data, and explain findings to both technical and non-technical audiences. - A clear point of view on how AI should support human judgment rather than replace it, shown through your past work or writing. LOGISTICS - Location: This role is based in San Francisco, California. - Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD. - Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. - Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
AI/ML Physical Design Flow Engineer
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking an Physical Design Engineer to lead cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are - BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. - Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. - Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. - Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently. What we need - Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes. - Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly. - Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR. - Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors. What you will learn - How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows. - New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits. - Best practices for deploying, validating, and monitoring ML models in production CAD environments. - How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT). Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Staff / Senior Software Engineer, Platform Teams
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE Suno’s platform teams build the foundation upon which everything else is built, from our products at scale to our internal processes. We’re hiring Staff and Senior Software Engineers to work on one of the teams that powers the entire company: Infrastructure, Platform, and Leverage These teams work on a range of complex challenges, from the lowest layers of compute, to the platforms that 70+ engineers build on daily, to the AI-native tools and workflows that catalyze how everyone at Suno works, to the core creation surface where millions of people make music. During the interview process we’ll work with you to find the team that’s the best mutual fit based on your background, technical strengths, and what gets you excited. What all of these teams share: they’re building foundational systems at scale, they own their work end-to-end, and their output directly determines how fast and how well Suno can build and ship products. They solve hard problems with autonomy and a bias toward engineering excellence. Check out the Suno version of the job here: https://suno.com/s/3NcdjuEOnlHGMoBt WHAT YOU’LL DO On one of Suno’s platform teams, you’ll work on a subset of the complex challenges outlined below: - Build the platforms that 70+ engineers depend on to ship product quickly and safely — APIs, authentication, deployment tooling, backend-driven configuration, and similar - Manage migrations that help teams transition off legacy systems seamlessly and without risk - Collaborate with engineering teams across the company to understand their needs and build the right abstractions - Build shared infrastructure, agentic tooling, and workflows that enable AI-native development across the company - Define best practices, frameworks, and evaluation systems for how Suno uses tooling in daily work - Partner closely with engineering and non-engineering teams to understand their needs and build the right solutions - Architect and build services to handle write-heavy consumer traffic and data - Design systems that are performant, secure, scalable, and easy to observe - Build and operate distributed databases, caching layers, and storage systems at consumer scale - Scale Kubernetes infrastructure and control planes to support rapid product and ML growth - Design inference infrastructure that keeps AI workloads fast, reliable, and cost-efficient - Build the foundational infrastructure for next-generation song creation: a multi-modal music agent, a create platform that powers multiple song creation products, and a realtime API enabling live generation and radio experiences - Operate with ambiguity — scope what matters, move fast, and drive projects forward independently as the space evolves - Own systems end-to-end — from design through deployment, monitoring, and operational excellence - Mentor other engineers and raise the bar for engineering quality, reliability, and maintainability WHAT YOU’LL NEED To succeed on one of Suno’s platform teams, your experience and skill set might resemble a cross section of the following: - 5–7+ years of infrastructure, backend, or systems engineering experience - Experience building and operating systems at significant scale in production - Strong understanding of distributed systems, cloud services (AWS/GCP), and modern infrastructure patterns - Expertise in infrastructure and platform security best practices - Ability to reason through hard scaling, reliability, and performance problems with clear technical judgment - Technical leadership or management experience - Experience building internal systems 0→1 — auth, notifications, CDN, or similar - Experience with websockets, streaming traffic patterns, and audio/video delivery - Familiarity with backend API design patterns at scale to serve internal backend, web and mobile clients alike - Experience on a platform or developer experience team where your primary customers were other engineers - Ability to manage system migrations with multiple dependent engineering teams - A working knowledge of security best practices in building and scaling infrastructure - Hands-on familiarity with the current landscape of AI for software engineering including, but not limited to: models, agents, coding assistants, and agentic workflows - Experience building or operating agent orchestration, tool calling, or streaming LLM generation systems - Experience building a streaming or realtime protocol in production — streaming generation, chat/turn-based UI, or live progress feeds - Shipped APIs consumed by iOS and Android clients in production; mobile-friendly API design is second nature - Observability is part of how you ship — you instrument before launch, not after - Mentorship experience — you’ve actively developed junior or mid-level engineers, not just worked alongside them - Strong product instincts — you synthesize user needs and build the right abstraction - Comfort operating in ambiguous, fast-moving problem spaces - High ownership — you drive projects end-to-end without waiting for direction - Strong product instincts — you synthesize user needs and build the right abstraction - Strong communication skills — you keep stakeholders informed and reduce ambiguity for the teams you serve - Strong written communication — patient and educator-minded when rolling out tools that change how people work - Strong oncall instincts — triage, debug, and resolve incidents across a distributed stack - A love of music, whether you’re an avid listener or musician yourself ADDITIONAL NOTES - This role is based in Cambridge, MA (Boston). - This role is expected to work from the Suno office 5 days a week, per Suno’s company policy. - Applicants must be eligible to work in the US. PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Senior / Staff Data Scientist, Trust & Safety
ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE Trust should be the foundation of every relationship Suno has — with our users, our artists, our rightsholders, and the broader music community. We're looking for our first dedicated data scientist on the Trust & Safety team to help make that real by building the metrics and analysis that let us measure how we're doing, and collaborating to define and execute on an impactful roadmap. You'll partner closely with product, engineering, and legal to bring a rigorous, quantitative lens to problems like copyright detection, content filtering, and bot detection. You and cross-functional stakeholders will work together to create a seamless creative environment for our users that is built on security and trust. WHAT YOU'LL DO - Define and evaluate metrics for the health of our trust and safety ecosystem - Analyze and build models, algorithms, and methodologies for maintaining a safe platform, like bot detection, content filtering, copyright detection, etc. - Design and run experiments that measure the real impact of changes to Trust & Safety practices, and turn results into clear recommendations - Partner with product and engineering to size opportunities and shape the Trust & Safety roadmap - Contribute to building strong data foundations as part of our awesome data science team WHAT YOU'LL NEED MUST-HAVES - 6–8 years of experience in data science or a closely related analytical field, with several years in trust & safety or closely adjacent problems (e.g., spam/fraud, integrity, policy-adjacent ML) - Strong hands-on SQL and Python - Experience running online experiments end-to-end, from ideation and metrics selection through analysis and informing the final decision - Experience building metrics or evaluation frameworks from scratch, without established precedent to lean on NICE-TO-HAVES - Experience training and building predictive ML models, offline and real-time. - Musician or creative hobbyist WORK LOCATION POLICY This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience. ADDITIONAL NOTES Applicants must be eligible to work in the US. PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - 401(k) with 3% Employer Match & Roth 401(k) - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - 16 Weeks of Paid Parental Leave - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week) Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.