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Facilities Manager
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. We're looking for a strategic Facilities Manager to lead our global workplace footprint as we grow into new markets. You'll own our facilities roadmap — site strategy, budgeting, and major projects like buildouts and new office openings — while managing a team of regional office managers who handle day-to-day execution. This role suits someone with global or multi-site facilities experience who's ready to build scalable systems rather than run daily operations. Key Responsibilities - Lead space planning and site strategy for new office openings, expansions, and consolidations, partnering with Finance, Legal, and executive leadership on lease negotiations, site selection, and capital planning. - Manage and mentor a team of office managers across regions, setting standards, providing coaching, and ensuring consistent execution of workplace programs globally. - Build and maintain scalable facilities frameworks (playbooks, vendor standards, safety protocols) that regional office managers can execute locally. - Ensure all office locations comply with local labor, safety, and building regulations, partnering with Legal and local teams to navigate country-specific requirements as we expand into new markets. - Serve as the senior escalation point for complex, cross-regional facilities issues. - Develop the facilities budget in partnership with Finance and leadership; manage facility budget and operational costs across all sites. - Lead major projects such as office buildouts, relocations, or new market entries end-to-end — planning, budgeting, stakeholder alignment, and delivery. - Partner with Office Managers and the People team to shape a workplace experience — for employees and visitors alike — that reflects and reinforces our culture, from day-to-day environment to how we welcome guests and celebrate milestones. Minimum Qualifications - 5-8 years in facilities or workplace strategy, with proven experience managing multi-site office portfolio — not limited to a single-location operational role. - Demonstrated success building and scaling workplace strategy in step with business growth, ideally in a high-growth tech company. - Strong project management skills, with experience leading complex, multi-stakeholder initiatives (office buildouts, relocations, market entries) from planning through delivery. - Experience managing a team with coaching, developing, and setting direction for office managers or similar direct reports. - Experience negotiating leases, vendor contracts, and master service agreements at a portfolio level. Preferred Qualifications: - Experience with global or international office operations, including regional compliance, cultural, and logistical considerations. - Demonstrated experience designing and executing campus events and daily activities, in partnership with internal stakeholders, to foster a high-energy, engaged workplace. - Comfortable operating with ambiguity, translating high-level business/geo strategy into concrete facilities plans. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Executive Assistant
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. We are looking for a highly organized, proactive, and detail-oriented Executive Assistant to support our senior leadership team. This is a high-trust, high-autonomy role for someone who operates with discretion, moves fast, and takes genuine ownership of keeping leadership effective and well-prepared. The ideal candidate is not just an organizer — they're a thoughtful partner and a trusted confidant. You'll be the connective tissue between our executives and the world around them, bringing sound judgment and a calm, professional presence to everything you do. This is fully in-office role based in San Mateo where you will support multiple executives. Main Responsibilities - Calendar & Schedule Management: Manage complex, multi-executive schedules. Strategically prioritize and protect time in alignment with business objectives. - Meeting Support: Ensure executives begin each day fully prepared: briefing notes, meeting context, open action items, and anything they need to walk in sharp. Prepare agendas and follow up on action items as needed. - Travel Coordination: Organize domestic and international travel end-to-end: flights, accommodation, ground transport, detailed itineraries, and expense reporting. - Confidential Support: Manage sensitive and confidential information with the utmost discretion and integrity. - Project Management: Support strategic projects, internal initiatives, and ad hoc research tasks. Able to pick up a thread and run with it independently. - Liaison Role: Serve as the primary point of contact between executives and internal/external stakeholders. Build relationships and stay attuned to what's happening on the ground. - Additional Administrative Support: Complete expense reports, handle personal tasks as needed, and support other executives as needed. - Additional Administrative Support: Complete expense reports, reconcile corporate card, organize team meetings, offsites, all-hands logistics, interview and onboarding coordination. May support other executives as needed. Preferred Attributes - Background in a fast-paced environment — finance, technology, AI, or startups preferred - Clear, upfront communicator — comfortable navigating ambiguity with confidence and composure - Meticulous attention to detail, especially across scheduling and travel; able to prioritize effectively in high-pressure environments - Strong written and verbal communication skills; professional and warm in every context - Strong interpersonal relationships — a natural relationship-builder who earns trust quickly across all levels of an organization - Good judgment — knows when to act independently and when to loop in - Tech-savvy and comfortable with modern productivity tools - Familiarity with AI tools or workflow automation — able to help build and maintain systems that reduce manual lift WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Enterprise Account Executive, EMEA
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE: We are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved. KEY RESPONSIBILITIES: - Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts - Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market - Focus on pipeline generation within your targeted accounts to ensure long-term success - Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close - Manage the entire sales cycle from prospecting to procurement - Forecast accurately and leverage internal resources to hit your annual quota efficiently - Regularly update all active accounts, reporting on sales activities, status, and progress - Maintain a high level of customer satisfaction and referenceability - Travel for client visits and presentations as needed MINIMUM REQUIREMENTS: - Bachelor’s degree or equivalent years of working experience - 5+ years of progressive SaaS software sales experience, with a proven "hunter" mentality - 2+ years experience selling SaaS products to a technical audience - Demonstrated success in closing business in large complex enterprise accounts - Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment - Outstanding verbal and written communication skills Fireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in London, UK for this role is £200,000 - £240,000 per year. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Enterprise Account Executive
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE: We are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved. KEY RESPONSIBILITIES: - Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts - Gain a deep understanding of Fireworks AI's offerings and value proposition, effectively articulating them in the market - Focus on pipeline generation within your targeted accounts to ensure long-term success - Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close - Manage the entire sales cycle from prospecting to procurement - Forecast accurately and leverage internal resources to hit your annual quota efficiently - Regularly update all active accounts, reporting on sales activities, status, and progress - Maintain a high level of customer satisfaction and referenceability - Travel for client visits and presentations as needed MINIMUM REQUIREMENTS: - Bachelor’s degree or 8-12+ years of working experience; 6+ years of progressive SaaS software sales experience, with a proven "hunter" mentality; 4+ years experience selling SaaS products to a technical audience - Demonstrated success in closing business in large complex enterprise accounts - Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment - Outstanding verbal and written communication skills Fireworks AI's goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in the San Francisco Bay Area for this role is $300,000 - $330,000 per year. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Data Analytics Engineer
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. THE ROLE We are seeking the first Data Analytics Engineer at Fireworks who will support our product management team. You will define canonical metrics that measure user behavior, product performance, system performance, and financial measures. You’ll ensure the metrics accurately measure what the business needs to know and that they are socialized and understood across teams and senior leaders. You will extend and improve our data model, write pipelines to compute metrics, and partner with the data platform team to put them into production following rigorous engineering standards. You’re a good fit for this role if you enjoy operating highly autonomously, if your working style stresses both efficiency and correctness, and if you love bringing structure to complex and messy questions. WHAT WE'RE LOOKING FOR REQUIRED - 5+ years in data science, product analytics, analytics engineering, or a combination. - Experience defining, analyzing, and aligning business users on shared metrics. - Experience building or working on production data pipelines, hands-on. - Proficiency in SQL, Python, or similar languages. - Excellent communication with senior level stakeholders, technical and non-technical. - Demonstrated autonomy in an environment with open ended problems. - Availability to work in office in San Mateo 3x days per week. PREFERRED - Experience analyzing performance of self-service developer-facing products. - dbt, Coalesce, or a similar transformation framework in production — models, tests, docs, shared repo - Background in AI infrastructure including inference, GPU-hour metering, attributing revenue to mixed model use, etc. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Compute Financial Analyst
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THE ROLE We are looking for a highly motivated and detail-oriented Financial Compute Analyst to join our Accounting team. This role will help build and run the accounting, allocation, and reporting for compute cost of revenue as the company continues to scale. Compute is by far our largest expense category and the single biggest driver of gross margin. Cloud spend runs across a growing set of CSP and neocloud vendors under a mix of on-demand, reserved, prepaid, and committed-capacity structures — each with its own invoicing cadence, true-up mechanics, and credit terms. The ideal candidate is comfortable turning GPU utilization data into defensible accounting conclusions and enjoys building the schedules, reconciliations, and controls that make cost of revenue accurate, explainable, and auditable. This is a hands-on role that will partner closely with Infrastructure, Capital Efficiency, FP&A, Procurement, Partnerships, and Data teams to ensure compute costs are captured in the right period, classified to the right cost center, and reported in a way the business can actually use. RESPONSIBILITIES - Support the monthly close for compute cost of revenue, including preparing cloud cost journal entries, accruals for unbilled usage, prepaid amortization, true-ups to actual usage, and supporting schedules. - Perform reconciliations of GPU utilization data to CSP invoices, contracted capacity, and the general ledger; research utilization-to-billed variances, idle capacity, and billing discrepancies, and escalate complex items with a proposed resolution. - Prepare and maintain prepaid cloud balance schedules, including short-term/long-term classification, amortization tied to committed capacity, and rollforwards that tie to contract terms, for senior review. - Support the accounting for complex vendor and partnership arrangements, including committed spend, prepayment and reimbursement structures, revenue share, SLA and downtime credits, and capacity arranged through third parties. - Help evaluate the accounting treatment of new vendor agreements and capacity commitments, including COGS vs. operating expense classification, gross vs. net presentation, embedded leases under ASC 842, and liability vs. expense characterization. - Work with Data and Analytics teams to build and validate the cost and utilization data pipelines that feed allocations and reporting, and improve data quality at the source. - Contribute to technical accounting memos supporting significant cost of revenue and capitalization conclusions, including capitalized software and its amortization into COGS. - Support external audits by preparing cost schedules, vendor contract samples, allocation support, and responses to auditor inquiries. - Identify opportunities to automate and scale cost accounting processes, reconciliations, and reporting as compute spend grows. QUALIFICATIONS - Bachelor's degree in Accounting, Finance, or a related field. - CPA or CPA candidate a plus. - 3–6 years of relevant accounting or finance experience, including meaningful experience in cost accounting or cost of revenue. - Familiarity with cost allocation concepts, including direct cost attribution and overhead allocation across cost centers or product lines. - Experience in cloud computing, AI infrastructure, SaaS, or other usage/consumption-based business models is preferred but not required. - Experience evaluating vendor contracts and committed purchase arrangements, and translating commercial terms into accounting treatment, is a plus. - Comfort working with large datasets and reconciling information across multiple systems. - Experience with NetSuite or another major ERP system, including allocation schedules and amortization functionality, preferred. - Advanced Excel/Google Sheets skills; SQL or experience working directly with data warehouses is a plus. - Strong analytical and problem-solving skills with exceptional attention to detail. - Builder mindset — comfortable creating and improving processes in a fast-paced environment where products, vendors, and systems continue to evolve. - Strong communication skills and ability to translate cost accounting requirements into practical guidance for non-accounting stakeholders. WHAT SUCCESS LOOKS LIKE You will help build a cost accounting function that is accurate, scalable, auditable, and closely connected to how the business actually operates. You will be able to trace compute spend from vendor contracts and GPU utilization through allocation to the general ledger and ultimately to gross margin, so the company can understand the true economics of each product and make infrastructure investment decisions with confidence. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Compensation Partner
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THE ROLE Compensation touches nearly every decision we make about talent. We’re hiring our first dedicated Compensation Partner — the person responsible for translating our compensation philosophy into practice. You'll build the connective tissue between what we believe about pay and how pay decisions actually get made across a fast-growing org. That means bringing rigor to how we benchmark, review, and adjust compensation — and building the systems and processes that let that rigor hold as we scale. You'll own it end to end and hands-on: running the market research, designing the review cycle, keeping the data clean, and serving as the person HRBPs and leaders turn to when a pay question needs a real answer. You'll also partner closely with Finance to shape our equity structure through a compensation lens. WHAT YOU'LL DO Translate our compensation philosophy into clear strategy and practice - Take our existing compensation philosophy and turn it into practical guardrails, bands, and decision frameworks that managers and HRBPs can actually use - Regularly check that our real-world pay practices stay aligned with our philosophy, flagging and correcting drift as we grow - Keep our compensation posture competitive and agile — able to respond to market shifts rather than only revisiting pay once a year Maintain and evolve our compensation bands - Own our job architecture and salary bands, keeping them current as roles, levels, and the market evolve - Run ongoing market research and benchmarking (survey data, competitive intelligence) to ensure our bands remain competitive - Recommend band adjustments proactively, rather than waiting for a leader or HRBP to flag a problem Own compensation data, analysis, and systems - Maintain accurate compensation data and be the source of truth Finance, People Ops, and HRBPs rely on - Own compensation system implementation and administration (e.g., HRIS/Workday compensation modules), keeping the process scalable as headcount grows - Turn compensation data into clear analysis and recommendations for leadership — pay equity, competitiveness, spend trends Build and run our compensation review program - Design and own the end-to-end compensation review cycle — timing, guardrails, manager tools, and calibration approach - Partner with HRBPs to roll the program out across their orgs, adapting company-level design to what actually works for each function - Build the manager-facing tools and guidance that keep pay decisions consistent and defensible across teams Participate in designing our benefits strategy - Own the strategic direction of our benefits program across geographies — what we offer, how it evolves, and how it stays competitive and cost-effective as we scale - Partner with People Ops, who continue to own day-to-day benefits administration, to ensure strategy and execution stay connected - Evolve the benefits framework as we expand into new locations or hit new headcount milestones Partner with Finance on equity - Bring strong familiarity with equity compensation design (options, RSUs, or similar) to partner closely with Finance in building out a robust equity framework - Support equity-related modeling, guidelines, and decision-making as part of the broader compensation strategy - Help ensure equity practices stay consistent with our overall compensation philosophy Be the go-to comp expert for HRBPs and leaders - Act as subject matter expert on pay decisions, offer approvals, and job evaluations - Educate and enable HRBPs and managers so they can confidently make and explain compensation decisions within our frameworks WHAT WE'RE LOOKING FOR - 6+ years of progressive compensation experience, ideally including time maintaining and evolving comp programs (bands, review cycles, market benchmarking) in a fast-growing company - Direct experience with equity compensation (options, RSUs, or similar) and comfort partnering with Finance on equity framework design - Strong analytical foundation: comfortable with market data, compensation modeling, and translating data into clear recommendations - A hands-on, do-er mindset — comfortable owning the process and the details, not just setting direction for others to execute - Experience partnering with HRBPs, Finance, and People Ops as equal stakeholders - Excellent written communication — able to explain compensation mechanics clearly to audiences ranging from executives to first-time managers - Familiarity with relevant compensation systems and survey data sources (e.g., Workday, Radford, Pave, Carta Total Comp) Nice to have - Experience with sales/GTM compensation plan design - Experience carrying a benefits program through international or multi-geography expansion - Experience owning or heavily involved in benefits strategy (not just administration) - Experience building a compensation review cycle in tandem with a performance management program WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Billing Operations Analyst - Usage Billing
ABOUT US: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. ABOUT THE ROLE Fireworks AI is looking for a Billing Operations Analyst to own billing and receivables operations for usage-based customer business. AI infrastructure creates a uniquely data-intensive billing environment. This role will sit at the intersection of Finance Operations, Product, Engineering, Data, and Revenue Accounting to help ensure that customer usage flows completely and accurately through billing and ultimately into accounts receivable and cash. This is an ideal role for someone who combines strong billing fundamentals with systems thinking, data analysis, and a passion for automation. WHAT YOU'LL DO - Own operational billing processes for usage-based customers. - Manage customer billing setup and ensure billing configurations, payment requirements, and account information are complete and accurate. - Monitor the usage-to-bill lifecycle and help ensure customer usage is captured, rated, and billed completely and accurately. - Perform usage-to-billing reconciliations and investigate discrepancies between source usage data and customer invoices. - Monitor billing exceptions, failed billing events, unusual transactions, and other anomalies. - Partner with Product, Engineering, Data, and Finance Systems teams to investigate and resolve systemic billing issues. - Manage receivables, aging, collections, unapplied cash, and customer account exceptions. - Investigate customer billing disputes and drive issues through timely resolution. - Support month-end close, including billing completeness, AR reconciliations, usage reconciliations, and aging validation. - Execute SOX and O2C controls and maintain appropriate documentation, evidence, and segregation of duties. - Develop exception-based monitoring and controls that allow billing operations to scale without proportional increases in manual effort. - Identify automation opportunities across usage validation, billing, collections, reconciliation, and reporting. - Define and monitor operational metrics, including billing completeness, billing accuracy, failed billing, exception rates, aging, DSO, disputes, and unapplied cash. WHAT WE'RE LOOKING FOR - 3–6+ years of experience in Billing Operations, Order-to-Cash, Finance Operations, Accounts Receivable, or a related function. - Experience with usage-based, consumption-based, SaaS, cloud, infrastructure, API, or other high-volume billing models is strongly preferred. - Strong analytical skills and comfort working with large or complex billing datasets. - Ability to investigate discrepancies across multiple systems and identify root causes. - Strong understanding of billing, AR, reconciliation, and financial control concepts. - Experience with SOX controls or operating in a controlled financial environment is preferred. - Experience with ERP, billing, payment, CRM, and data/reporting tools. - SQL or similar data-analysis experience is a plus. - Ability to communicate effectively across both Finance and technical teams. - Strong automation and process-improvement mindset. WHAT SUCCESS LOOKS LIKE You help build a highly automated and scalable usage-to-cash engine for Fireworks AI. Usage is translated into accurate customer bills, exceptions are identified before they become material problems, receivables are actively managed, and Finance has confidence in the completeness and accuracy of PAYG billing as transaction volumes grow. WHY FIREWORKS? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Robotics Research Internship, Humanoid Manipulatio...
FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are offering a Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI’s autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference. What You Will Get To Do Advance Humanoid Manipulation Research Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks. Explore loco-manipulation problems that integrate perception, planning, and control. Work towards super-human dexterity, developing systems that outperform human teleoperation. Contribute to the Research Community Work towards publishing a paper in a leading robotics conference/journal Work closely with other researchers, both internal and external. Present your work at Field at robotic conferences Contribute to Robotics Foundation Model Development Support data collection pipelines used to train robotics foundation models. Work with embodiment-agnostic representations to enable transfer across robot platforms. Collaborate with researchers to integrate manipulation data into scalable learning frameworks. Collaborate Across Disciplines Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes. Partner closely with researchers and engineers to align experiments with broader autonomy goals. Engage with mechanical and electrical engineers on hardware integration and system bring-up. What You Have Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, AI/ML, or a closely related field. Research experience in robotic manipulation, loco-manipulation, or related robotics domains. Strong foundation in robot kinematics, dynamics, and control. Proficiency in Python and/or C++, with experience using robotics or ML tooling. Experience designing experiments and evaluating results on robotic systems (simulation or hardware). Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics. Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.) The Extras That Set You Apart Prior experience working with humanoid robots or dexterous robotic hands. Background in learning-based manipulation, including imitation learning or reinforcement learning. Hands-on experience running experiments on real robot hardware. Familiarity with ROS or ROS 2. Publications, preprints, or open-source contributions in robotics or AI. Interest in bridging cutting-edge research with practical, field-ready robotic systems.
Robotics Research Internship, Humanoid Manipulatio...
FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are offering a Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI’s autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference. What You Will Get To Do Advance Humanoid Manipulation Research Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks. Explore loco-manipulation problems that integrate perception, planning, and control. Work towards super-human dexterity, developing systems that outperform human teleoperation. Contribute to the Research Community Work towards publishing a paper in a leading robotics conference/journal Work closely with other researchers, both internal and external. Present your work at Field at robotic conferences Contribute to Robotics Foundation Model Development Support data collection pipelines used to train robotics foundation models. Work with embodiment-agnostic representations to enable transfer across robot platforms. Collaborate with researchers to integrate manipulation data into scalable learning frameworks. Collaborate Across Disciplines Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes. Partner closely with researchers and engineers to align experiments with broader autonomy goals. Engage with mechanical and electrical engineers on hardware integration and system bring-up. What You Have Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, AI/ML, or a closely related field. Research experience in robotic manipulation, loco-manipulation, or related robotics domains. Strong foundation in robot kinematics, dynamics, and control. Proficiency in Python and/or C++, with experience using robotics or ML tooling. Experience designing experiments and evaluating results on robotic systems (simulation or hardware). Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics. Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.) The Extras That Set You Apart Prior experience working with humanoid robots or dexterous robotic hands. Background in learning-based manipulation, including imitation learning or reinforcement learning. Hands-on experience running experiments on real robot hardware. Familiarity with ROS or ROS 2. Publications, preprints, or open-source contributions in robotics or AI. Interest in bridging cutting-edge research with practical, field-ready robotic systems.
Data Platform Engineer, Infrastructure
Location: Irvine, CA Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at https://fieldai.com. About the Data Platform Team Every robot we deploy generates a continuous stream of telemetry, sensor logs, and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem list that drives our engineering roadmap. About the Job As a Data Platform Engineer, Infrastructure, you will build and operate the cloud foundation the entire data platform runs on — the systems every robot log, dashboard, and model-training run depends on. You will collaborate with pipeline and analytics engineers, as well as edge and robotics teams, to keep the platform reliable, secure, and cost-efficient as our fleet grows. What You'll Get To Do Design, build, and operate the cloud infrastructure for the data platform: compute (Kubernetes, serverless, batch clusters), storage (object stores, warehouse/lakehouse), and networking. Manage everything as code: Terraform/IaC, GitOps workflows, and CI/CD for infrastructure and data services. Provision and tune infrastructure for heavy workloads: large-scale sensor data processing, distributed pipeline execution, and ML training and evaluation jobs. Own platform reliability: SLAs/SLOs, on-call practices, incident response, and capacity planning as fleet data volume grows. Implement security and governance: IAM and access controls, secrets management, encryption, audit logging, and environment isolation. Own cloud cost management: monitoring, budgeting, and optimization across storage and compute. Build the observability stack (metrics, logging, tracing) for all data platform services. Build internal tooling and paved paths so pipeline and analytics engineers can ship without becoming infrastructure experts. What You Have Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3–5+ years of experience in infrastructure, platform, DevOps, or SRE roles , ideally supporting data-intensive systems. Strong experience with a major cloud ( AWS or GCP ), Kubernetes , and infrastructure-as-code ( Terraform or similar). Strong programming skills in Python, Go, or similar for automation and internal tooling. Experience operating production systems: monitoring, alerting, incident response, and capacity planning. Working knowledge of data infrastructure components (warehouses, object storage, streaming systems, orchestrators) and what they demand from underlying infrastructure. Experience with security fundamentals: IAM, network security, secrets management . Strong problem-solving skills and ability to work in interdisciplinary teams. The Extras That Set You Apart Experience supporting data or ML platforms specifically (Spark/Databricks clusters, GPU scheduling, feature stores). Experience with high-volume telemetry or IoT/edge fleets . Track record of significant cloud cost optimization . Prior experience as an early platform/infrastructure hire, building from zero.
3D/AR/VR Software Engineer
FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI robots reconstruct and interact with the physical world to unprecedented levels. This asks for an unprecedented user experience. Therefore, we are hiring a 3D/AR/VR Software Engineer in support of our humanoid UI/UX team. In this role, you will implement, integrate, maintain, and support AR/VR applications that enable supervision, manipulation, and locomotion capabilities for humanoid robots. You will help turn new robotic capabilities into reliable, maintainable, user-facing systems that can be deployed, evaluated, and operated on real robots. Your work will span design, prototyping, UI implementation, and robot integration, user-study-based evaluation. You will draw on your expertise on input and interaction design, rendering, to build innovative 3D interfaces for robotics. What You Will Get To Do Set Research Vision and Strategy Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals. Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning. Establish clear technical goals, milestones, and success metrics tied to real-world robot performance. Design and Implement Interactive Workflows in AR/VR Design and implement intuitive 3D workflows for supervising, manipulating, and controlling humanoid robots in AR/VR. Build interaction techniques for spatial input, visualization, teleoperation, task specification, and robot feedback. Prototype, evaluate, and iterate on new interaction concepts through user studies and deployment on real robotic systems. Integrate the UI with the Robot Integrate AR/VR applications with robot perception, planning, manipulation, locomotion, and control systems. Build robust interfaces for exchanging commands, state, sensor data, and 3D scene representations between robots and user-facing applications. Debug and optimize end-to-end system behavior across headsets, networks, compute infrastructure, and robotic hardware. Deploy and Support Systems in the Real World Turn research prototypes into reliable, maintainable applications that can be deployed and operated on real robots. Develop tooling, testing, monitoring, and deployment workflows that support repeatable operation across robots and environments. Diagnose failures in the field and continuously improve system performance, reliability, usability, and robustness. Collaborate Across Disciplines Work closely with researchers and engineers across perception, planning, control, manipulation, and hardware. Translate new robotic capabilities into user-facing workflows and identify interface requirements that inform system design. Contribute to technical design discussions, code reviews, experimentation, and the development of software infrastructure. What You Have Bachelor’s or Master’s degree in Computer Science, Human-Computer Interaction, Game Development, Creative Technology, Design, Robotics, Electrical Engineering, or a related field. Strong programming skills in C#, C++, or a different relevant language Experience designing, implementing, testing, and maintaining production-quality software. Experience working with Unity, Unreal, git, containers, build systems, and continuous-integration workflows. Experience working with Meta Quest, Apple, Varjo or comparable headsets Strong debugging skills across complex, interactive, distributed, and performance-sensitive systems. Ability to understand prototype code and convert it into maintainable, reliable implementations. Ability to work effectively in a fast-paced, highly collaborative environment. Ownership, attention to detail, and a strong focus on reliability and usability for software evaluated by end users. The Extras That Set You Apart Experience with robots. Experience integrating software with physical systems, sensors, or real-time processes. Experience with teleoperation systems or human-in-the-loop industrial user interfaces. Experience with safety-critical user interfaces or workstations (aircraft cockpits, driver/operator cabs) Experience designing and administrating user studies for ergonomics and human factors. Experience with gloves or other forms of haptics for AR/VR applications. Experience integrating systems with ATAK
Staff Security Engineer, Infrastructure
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THE ROLE We’re looking for a Security Engineer, Infrastructure to secure the core systems that power fal.ai’s platform: GPU compute, multi-cloud environments, networking, and data pipelines. You’ll operate across the full stack, from cloud and Kubernetes to identity, networking, and secrets, designing and implementing security controls that scale with a high-performance AI platform. This role is highly hands-on and systems-oriented, sitting at the intersection of security, infrastructure, and distributed systems. WHAT YOU’LL DO BUILD & HARDEN INFRASTRUCTURE SECURITY Design and implement security controls across: - Cloud infrastructure - Kubernetes and containerized workloads - Networking, service meshes, and edge systems - CI/CD pipelines and deployment systems - Secure compute environments for GPU workloads and model execution IDENTITY, SECRETS & ACCESS - Machine identity and workload authentication - Secrets management and encryption (e.g., Vault, KMS) - Least-privilege access and short-lived credentials - Implement Zero Trust principles across infrastructure SECURE AI & DATA SYSTEMS - Protect model weights, inference endpoints, and customer data - Design secure data access pathways and isolation mechanisms - Ensure safe multi-tenant execution environments AUTOMATION & SECURITY TOOLING - Build security guardrails directly into infrastructure and CI/CD - Use Infrastructure-as-Code (Terraform, Pulumi) to enforce secure defaults - Continuously identify and remediate security gaps through automation THREAT MODELING & RISK REDUCTION - Identify and mitigate risks across infrastructure layers - Defend against both external attackers and insider threats - Drive projects like network isolation, encryption, and secure service communication CROSS-FUNCTIONAL COLLABORATION - Partner with platform, infra, and ML teams to drive shift-left security - Enable engineers to move fast with secure-by-default systems - Contribute to a strong security culture across the company QUALIFICATIONS/NICE TO HAVE: CORE REQUIREMENTS - 8+ years in security engineering, infrastructure, or SRE - Strong understanding of: - Cloud security (AWS, GCP, or Azure) - Networking fundamentals (segmentation, firewalls, Zero Trust) - Linux systems and container security (Docker, Kubernetes) - Experience building or securing production infrastructure at scale SECURITY EXPERTISE Deep knowledge of: - Authentication & authorization systems - Secrets management and cryptography basics - Common vulnerabilities and attack vectors - Ability to design security controls across multiple layers (infra → app) ENGINEERING SKILLS - Proficiency in at least one language (Go, Python, or similar) - Experience with Infrastructure-as-Code (Terraform preferred) - Strong automation mindset—security should scale with systems EXPERIENCE WITH: - GPU infrastructure or ML systems - Multi-tenant platform isolation - Service mesh / zero-trust architectures - High-growth startup environments WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000 - $250,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Senior/Staff Software Engineer, Kubernetes Infrast...
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You will build the high-performance compute environments we deliver to customers. These environments span bare-metal servers, virtual machines with GPU passthrough, Kubernetes and Slurm clusters, distributed storage, and high-speed networking. You will work across the infrastructure stack — from Linux images and hardware provisioning to cluster networking, GPU performance, observability, and lifecycle automation. The goal is to make every customer environment performant, reliable, isolated, and repeatable. What you'll do: - Design, automate, validate, and deliver the complete lifecycle of customer compute environments — from provisioning through upgrades, recovery, and decommissioning - Use AI aggressively to automate and accelerate every aspect of infrastructure delivery and operations - Provision dedicated Kubernetes and Slurm clusters tailored to customer workloads - Build and maintain Linux images and automated OS-provisioning workflows - Operate the NVIDIA GPU stack: drivers, GPU Operator, NVIDIA Container Toolkit, device plugins, MIG, and GPU monitoring - Design Kubernetes and data-center networking using Cilium/Calico, MetalLB, VLAN, VXLAN, BGP, and ECMP - Configure distributed and shared storage for high-performance workloads - Build monitoring, alerting, diagnostics, and automated recovery for customer environments - Develop reusable tooling, standards, documentation, and runbooks - Collaborate with customers and internal teams to translate workload requirements into sound infrastructure designs Qualifications/Nice to Have: - 5+ years of experience building and operating production Linux infrastructure - Strong production experience with Kubernetes on bare metal (bootstrapping, upgrades, HA control planes, etcd, containerd, CNI, CSI, ingress, load-balancing, observability, security, troubleshooting) - Experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough - Experience operating NVIDIA GPUs on Linux and Kubernetes (drivers, container runtimes, device plugins, GPU Operator, GPU telemetry) - Strong networking fundamentals: TCP/IP, L2/L3, VLANs, routing, packet-level troubleshooting (tcpdump, Wireshark) - Practical scripting experience - Experience with configuration-management tools such as Ansible - Ability to diagnose complex, cross-layer infrastructure issues - Strong communication and ability to drive technical decisions across teams - Track record of moving quickly, taking ownership, and continuously improving systems - Production Slurm experience - High-performance networking: NVLink/NVSwitch, InfiniBand, RoCEv2, GPUDirect RDMA, NCCL, IMEX - Hugepages, NUMA, CPU pinning - SR-IOV, DPDK - Distributed storage: Ceph, Lustre, Weka - KubeVirt, OpenStack - IPsec, WireGuard, Tailscale - VXLAN, BGP, ECMP - Bare-metal management: BMC, IPMI, Redfish, PXE/iPXE, Kickstart, cloud-init - Network automation: NetBox, Nautobot, Nornir - AI training, inference, or distributed GPU workload infrastructure - Python or Go proficiency WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000 - $250,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Senior Product Designer
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You are a versatile designer who thrives with ambiguity, who can move at fal speed while keeping the UI fast + consistent. WHAT YOU'LL DO: - Own end-to-end product design for features (problem framing → flows → UI → states/edge cases → handoff → QA → iterate). - Design across web + true mobile experiences (dedicated mobile screens + mobile patterns; not just responsive web). - Help build/maintain the design system (components/tokens/patterns/docs) and drive adoption with engineering. - Prototype fast (Figma + AI/vibe-coding tools when useful) to validate direction. - Partner tightly with Eng/PM to ship quickly, keep quality high, and improve post-launch with feedback. - Do lightweight user research/testing (scrappy usability checks, customer calls, quick validation). - Nice-to-have “extra output” when needed: Google Slides decks + light graphic/brand assets. NICE TO HAVE: - Familiarity with generative media / LLMs / image (or video) models and the UX patterns around prompts, parameters, evaluation, latency/quality tradeoffs. - Front-end literacy (React/TypeScript/CSS) and/or Storybook-style component workflows. - Willing to support lightweight GTM/design needs sometimes: pitch decks (Google Slides) and basic graphic design (simple visuals, social cards, light marketing assets). - Any experience (or interest) in graphic design / brand design (doesn’t need to be a brand lead—just enough taste/skill to help when needed). WHAT WE OFFER AT FAL - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsite COMPENSATION - $180,000 - $225,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Senior Counsel, GTM
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: Our customer base is growing fast. Enterprises, startups, and developers globally rely on our platform to run generative AI in production. We're hiring a Senior Commercial Counsel to be the main legal partner with our growing go-to-market team. In this role, you’ll negotiate high-value, high-volume enterprise deals, advise on strategic partnerships, and help drive revenue growth. You’ll also build the playbooks, templates, and processes that let the commercial legal and go-to-market teams move faster. This role is ideal for a focused, detail-oriented commercial attorney with sound business judgment. You know how to weigh legal risk against strategic goals, give clear and practical advice, and help close deals (not just negotiate paper). You’ll have real ownership, direct access to leadership, and the chance to shape how legal works at one of the fastest-growing AI companies. - You'll sit at the center of revenue at one of the fastest-growing companies in generative AI. - You'll get real ownership and direct access to leadership, with room to grow as the legal team scales. WHAT YOU'LL DO - Draft and negotiate customer agreements across the book: enterprise MSAs, order forms, API, serverless and renewals and expansions. - Own the legal relationship with sales, account management and deal desk. Be the person they call first, and help them close. - Negotiate AI-specific terms: IP and output ownership, data use and retention, model-provider flow-downs, acceptable use and content policies. - Handle DPAs, security and privacy questions in customer deals, working closely with our privacy and security partners. - Support model partner and marketplace terms as the catalog grows. - Flex into infrastructure and vendor agreements alongside our AI Infrastructure counsel when the business needs it. - Improve our templates, playbooks and approval matrix. Partner with Legal Ops on contract tooling and intake so standard deals get faster every quarter. REQUIREMENTS/NICE TO HAVE - 5+ years of commercial legal experience, including meaningful in-house time at a SaaS, cloud, API or AI company. - A track record of negotiating high volumes of enterprise customer contracts, from standard paper to complex strategic deals. - Working knowledge of usage-based and consumption pricing models, SLAs, and data protection (GDPR, CCPA, DPAs). - A business-partner mindset. You're comfortable owning decisions, not just listing options, and you communicate in plain language. - You keep your balance in a fast, lightly structured environment where priorities shift weekly. - Active bar membership in good standing (California preferred or able to register as in-house counsel). NICE TO HAVE - Experience with AI or ML licensing, model partnerships, or content and media licensing. - Exposure to cloud, compute or infrastructure agreements. - Experience rolling out or improving contract tooling and playbooks, including using AI to speed up review. WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $225k - $275k + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Senior Counsel, AI Infrastructure
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. Behind every API call is compute, and we are rapidly expanding our own footprint: data centers, colocation, GPU capacity and the hardware inside it. These are some of the largest and most consequential contracts the company signs. We're hiring our first dedicated infrastructure lawyer to own them. You'll be the legal partner to our compute, data center and infrastructure teams. You'll negotiate deals worth tens to hundreds of millions of dollars, bring work in-house that currently goes to outside counsel, and build the playbooks we'll scale on. WHAT YOU'LL DO - Own hardware purchase and supply agreements for GPUs, servers, racks, networking and related equipment, including warranties, delivery, allocation of risk, and vendor financing terms. - Lead negotiation of GPU capacity agreements with neoclouds, hyperscalers and traditional cloud providers, including commitment structures, pricing, SLAs and associated credits, delivery timelines, and liability caps. - Support GPU-side referral, reseller and partnership agreements, and partner with our commercial counsel on sell-side compute terms. - Work day to day with capacity planning, sourcing, site acquisition and finance, so legal moves at the speed of the build-out. - Bring outside counsel work in-house. Where we still use firms, manage them tightly on cost and turnaround. - Build templates, negotiation playbooks and fallback positions for infrastructure agreements, and help shape how these deals are approved and tracked. WHAT YOU BRING - 5+ years of commercial legal experience, with meaningful time in-house or at a firm serving infrastructure clients. - Recent, hands-on experience negotiating compute infrastructure deals: GPU or cloud capacity, data center or colocation, and hardware procurement. That experience might come from a hyperscaler, neocloud, AI lab, semiconductor or data center company. - Fluency in the terms that matter here: capacity commitments, take-or-pay and minimum spend, SLAs and credits, power and real estate provisions, supply and delivery risk, and limitation of liability. - Comfort running several high-value, time-sensitive negotiations at once with little process around you. - Sound business judgment. You frame risk as "yes, and here's the exposure" and help the business make the call. - Active bar membership in good standing (California preferred or able to register as in-house counsel). NICE TO HAVE - Real estate, energy or power procurement experience. - Exposure to export controls, trade compliance or international supply chains. - Experience building a function or playbooks from scratch at a high-growth company. WHY THIS ROLE - You'll own one of the most strategic legal areas at a fast-growing AI company, working directly with company leadership. - Your work will shape where and how we build. - Meaningful equity in a company growing quickly. U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
GTM Operations Engineer
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THE ROLE We are hiring our second GTM operations teammate: a hands-on GTM Engineer who owns the execution layer of our revenue systems. You will report to the manager of Revenue Operations and work as the front-line builder and operator for a GTM org of 30, running on one of the most modern, AI-native revenue stacks anywhere. This is an AI-first seat. You will work with Claude/Cursor/Codex and agentic tooling every day, and we expect AI leverage to make you dramatically more productive than a traditional ops hire. It is also a service seat: real people need real help daily, and you will be the first call when a rep is blocked. You know what a BDR's morning looks like, what an AE needs mid-deal, and what an AM checks before a renewal call, and you genuinely enjoy dropping what you are doing to unblock them, running down a minor technical issue, and getting them back to selling. If you want to build systems AND love being the person who unblocks a team, this role is for you. WHAT YOU'LL DO: Recurring, high-volume execution & systems support: - Create target lists and audiences for outbound, campaigns, and marketing programs, ensuring swift, and effective sales execution - Build novel, custom, agentic workflows to enable the BDR, AE, and AM teams across pre-sales, sales, and post-sales - Run data enrichment, hygiene, and processing: cleaning, dedupe, and enrichment pipelines in Clay and Salesforce - Provide daily systems support, user management, and front-line issue resolution across the GTM stack: Salesforce, Gong, Outreach, Apollo, Clay, Common Room, etc - Execute territory refinements and CRM build work prioritized by RevOps & sales leadership - Work closely with sales leadership and operations to refine and improve GTM processes through system design and enablement - Ensure new hires are setup and fluent in their tools Systems you'll manage directly: - Outreach (sales engagement), Common Room (community and signal tracking), Gumloop (agentic workflows), and Default (inbound lead routing) REQUIREMENTS/NICE TO HAVE: - 3 to 5 years in GTM, revenue, or sales operations at a B2B software company; usage-based or PLG experience is a plus - Fluent in how revenue teams actually run: the day-to-day of BDRs (lists, sequences, meeting handoffs), AEs (pipeline hygiene, deal cycles, forecasting), and AMs (renewals, expansion, account health), so everything you build and every fix you make fits how sellers really work - Hands-on operator of a modern GTM stack: Salesforce administration (declarative: flows, permissions, reports), a sales engagement platform, and an enrichment tool (Clay strongly preferred) - Comfortable with APIs and webhooks; you can wire two systems together and debug a broken sync without waiting for engineering. SQL is a plus, software engineering is not required - Fluent with AI tools as a builder, not just a chat user: you use Claude, Cursor, or similar to script, automate, and ship fast - A systems-design mind with a service heart: empathetic and support-minded, you see the process behind the ticket, you still answer the ticket fast, and you will happily set aside deep work to unblock an AE or research a small technical issue through to resolution - High ownership and low ego: unglamorous data work done precisely is how revenue teams win - CPQ or quote-to-cash experience - Workflow automation platforms (Gumloop, n8n, Zapier, Make) - Data warehouse or rETL exposure (BigQuery, Hightouch, Census) - Familiarity with the generative media or AI infrastructure space WHAT WE OFFER AT FAL - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $150K - $180K + Equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Community Growth
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: Community Growth Manager fal has a large community of developers, creative technologists, hackers, and creators building at the frontier of generative media. We’re looking for someone to grow that community across every channel and turn it into a thriving network, both online and in person. You’ll own community growth across events, hackathons, creator competitions, webinars, Discord, Reddit, and developer content like demos, prompt guides, and walkthroughs. The goal is to find and engage the best builders in generative media, give them reasons to keep building with fal, and create a community that compounds over time. You should be technical enough to speak the same language as engineers, creative enough to jam with creators, and deeply excited about generative media. This role sits on the Marketing team and works closely with our model partners, customers, and the broader fal community. WHAT YOU'LL DO: - Build and own fal’s developer relations and community program across online and in-person channels. - Develop a network of power users, hackers, creators, and creative technologists who test new fal tools, provide feedback, and build things we can showcase. - Own Discord and Reddit and recurring programming including monthly events, workshops, webinars, hackathons, and creator competitions. - Create demos, example projects, prompt guides, tutorials, and walkthroughs that help developers get more out of fal. - Support model and product launches through community activations, demos, challenges, early access, and technical content. - Partner with Engineering, model partners, and customers on community programs and surface developer feedback back to the team. - Find and amplify interesting builders and projects across the fal ecosystem. - Collaborate with Marketing on launches, content, and in-person programming. REQUIREMENTS/NICE TO HAVE: - Experience building a developer, creator, or technical community program from the ground up, ideally at a fast-growing startup. - Deep familiarity with and enthusiasm for generative media across image, video, audio, and multimodal models. - Technical enough to work comfortably with APIs, models, developer tools, and engineers. - Strong creative instincts and an understanding of what excites creators, hackers, and creative technologists. - Experience running hackathons, meetups, workshops, webinars, competitions, or other developer programs. - Comfortable creating hands-on resources like demos, tutorials, prompt guides, and example projects. - Resourceful, scrappy, and proactive; you see something that should exist and make it happen. - Strong relationship builder and comfortable representing fal online and in person. - Existing network across generative AI, creative technology, AI filmmaking, or developer tools. - Experience working with model labs, open-source communities, AI startups, or developer platforms. - Comfortable building small prototypes with Python, JavaScript/TypeScript, or similar tools. - Experience creating technical content, speaking, presenting, or running workshops. - A track record of building things yourself: side projects, creative experiments, open source, or hackathon projects. WHAT WE OFFER AT FAL - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $165,000 - $200,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Business Development Representative (BDR)
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. WHAT YOU’LL DO - Drive pipeline by prospecting into key accounts via email, calls, and LinkedIn - Craft personalized outreach to high-priority leads through research-driven targeting - Communicate Fal’s value proposition and act as a brand ambassador - Collaborate with Sales and Marketing to refine messaging based on market feedback - Stay informed on AI/ML trends to engage in relevant, technical conversations YOU’LL THRIVE IN THIS ROLE IF YOU - Have 1–3 years of experience in a customer facing role, especially in fast-moving tech environments such as AI and SaaS - Track history or being able to engage with technical stakeholders - Excellent communication and interpersonal skills, you are always “on” - Know how to move fast and iterate - Familiarity with the latest CRM systems and sales engagement tools - Bonus: you’re familiar with AI, dev tools, or creative communities and love staying at the edge of what's possible The ideal candidate is results-driven, curious about the evolving AI landscape, and thrives in a fast-paced startup. You’re confident initiating outreach, navigating nuanced product discussions, and showing prospects how generative AI can impact their business. COMPENSATION - $100,000 - $130,000 OTE (80/20)+ equity + comprehensive benefits package WHAT WE OFFER AT FAL - Interesting and challenging work - Employee-friendly equity terms (early exercise, extended exercise) - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco - Health, dental, and vision insurance (US) - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Technical Director of AI Safety
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Faculty’s Research team conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer-reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. ABOUT THE ROLE This is a brand new senior leadership role to provide technical leadership of Faculty's work on AI safety for the Foundation Labs - and presents a unique opportunity to shape how AI safety is done globally. Faculty is one of the world's leading applied AI companies, helping many of the organisations that shape our world to adopt AI successfully and safely. We play an important role in the emerging AI safety ecosystem. We already have many of the key Frontier Labs as clients, including Open AI and Anthropic, for whom we provide third-party red teaming, technical testing and other AI safety services. And we work with the UK government and other international governments on AI safety, including helping set up the AI Security Institute and delivering technical work which catalysed the first global AI Safety Summit at Bletchley Park in 2023. With the recent announcement of Faculty's acquisition by Accenture, we are investing to take our work on AI safety to global scale, and this role will be key to shaping that. This will include: - The opportunity to hire and build a world-class AI safety technical team - of calibre unmatched outside of the Labs themselves - The opportunity to design and lead an AI safety R&D programme - creating the advances which will enable AI safety at scale to keep pace with model advances - The opportunity to build our work with the Frontier Labs to scale - helping to test and assure new frontier models ahead of public release - The opportunity to contribute to and shape the international debate on AI safety, including with governments and other key bodies, working closely with Marc Warner Faculty's founder & CEO. This role will suit someone with a deep passion and commitment to AI safety, and represents a unique opportunity to contribute to this agenda globally. WHAT YOU'LL BE DOING: - Owning the technical strategy for AI Safety by determining research directions and building technologies that mitigate risks from alignment to societal harms. - Leading a high-performing R&D team through intentional hiring, mentorship, and the cultivation of a culture defined by technical excellence and high output. - Driving academic impact by guiding complex machine learning projects and securing top-tier publications that cement Faculty’s reputation in the safety domain. - Shaping market-leading offerings for frontier labs and security institutes, translating cutting-edge R&D into practical, groundbreaking safety solutions. - Overseeing technical delivery of AI safety and security projects, ensuring scientific rigor and high-quality outputs across evaluations and red-teaming. - Representing Faculty externally as a primary technical voice, delivering influential thought leadership and speaking at major global industry events. - Collaborating cross-functionally with business unit directors and commercial teams to align research investment with strategic growth and client needs. WHO WE'RE LOOKING FOR: - You have a proven track record of designing and leading high-performing technical teams, with the ability to manage R&D budgets and mentor senior technical staff. - You bring deep expertise in AI safety research, specifically regarding alignment, interpretability, and robustness in large language models (LLMs) or safety-critical systems. - You possess a strong scientific background evidenced by high-impact machine learning publications and a comprehensive understanding of transformer architectures. - You are a strategic visionary capable of setting research priorities that align with long-term organisational goals while remaining at the cutting edge of field developments. - You are a compelling communicator who can synthesise complex technical concepts into narratives that influence both C-suite executives and the broader research community. - You exhibit strong commercial acumen and stakeholder management skills, allowing you to navigate complex organisations and accelerate the delivery of high-value projects. INTERVIEW PROCESS 1. Talent Team Screen (45 mins) 2. Hiring Manager Interview (30 mins) 3. Technical Interview Loop (90 mins) 4. Research Proposal (60 mins) 5. Leadership + Principles Interview (60 mins) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Software Engineer
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time. ABOUT THE ROLE Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. WHAT YOU'LL BE DOING: - Building and deploying production-grade ML software, tools, and infrastructure. - Creating reusable, scalable solutions that accelerate the delivery of ML systems. - Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. - Leading technical scoping and architectural decisions to ensure project feasibility and impact. - Defining and implementing Faculty’s standards for deploying machine learning at scale. - Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. WHO WE'RE LOOKING FOR: - You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. - You possess strong Python skills and solid experience in software engineering best practices. - You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. - You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale - You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. - You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. - You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 minutes) 4. Commercial Interview (60 minutes) #LI-PRIO OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Senior Forward Deployed Engineer
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time. ABOUT THE ROLE As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills. WHAT YOU'LL BE DOING: - Leading technical scoping and architectural decisions for high-impact ML systems - Designing and building production-grade ML software, tools, and scalable infrastructure - Defining and implementing best practices and standards for deploying machine learning at scale across the business - Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities - Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies - Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth WHO WE'RE LOOKING FOR: - You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch - You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems - You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure - You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale - You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion - You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Pair Programming Interview (90 minutes) 3. System Design Interview (90 minutes) 4. Commercial Interview (60 minutes) #LI-PRIO OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Senior Data Scientist (Safety)
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions. We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all. Because of the nature of the work we do with our Government clients, you may need to be eligible for Security Clearance (SC) and willing to work on site with our clients from time to time. ABOUT THE ROLE As a Senior Data Scientist at Faculty, you will lead high-impact AI safety projects and shape the technical direction of upstream evaluation standards. This role requires hands-on scientific thinking and technical excellence combined with strong project leadership. You will invent novel evaluation frameworks, design robust software architectures, mentor technical team members, and ensure delivery rigour across engagements—all while partnering with Frontier Labs to solidify our reputation as a leader in practical, high-stakes AI safety. WHAT YOU'LL BE DOING: - Leading project teams that deliver upstream AI safety solutions and evaluation standards to Frontier Labs. - Conceiving core scientific experiment designs and building the associated software architecture for new engagements. - Mentoring technical team members on projects and supporting their professional growth through scientific guidance. - Partnering with commercial teams to shape project scope, assess technical feasibility, and translate complex problems into rigorous frameworks. - Contributing to Faculty’s thought leadership by advancing the science of AI evaluations, public speaking, or publishing open-source research. - Ensuring rigorous scientific methodology and technical best practices are followed across the project lifecycle. WHO WE'RE LOOKING FOR: - You possess senior experience in a professional data science role, upstream safety research, or a quantitative academic field with strong experiment design methodology. - You demonstrate strong programming skills in Python using core scientific libraries (NumPy, Pandas) and , ideally, evaluation frameworks and tooling (e.g. Inspect AI) and agentic harnesses. - You bring deep curiosity and expertise across the data science toolkit, with a drive to develop novel evaluation standards for specialized domains. - You exhibit high technical rigor and a collaborative mindset focused on nurturing team capabilities and sharing technical knowledge. - You demonstrate commercial awareness, with the ability to bridge complex scientific work with client requirements in Frontier Labs. - You excel at scientific problem-solving, scoping technical work, and guiding project execution to meet high standards on structured timelines. OUR INTERVIEW PROCESS 1. Talent Team Screen (30 minutes) 2. Take Home Technical Assessment 3. Technical Interview (90 minutes) 4. Commercial Interview (60 minutes) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Head of AI Validation
WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here https://faculty.ai/impact. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE ROLE AI is advancing fast, with agentic applications holding the promise of helping organisations make decisions faster and more effectively. In financial services, however, adoption is slowed by concerns about AI safety. Ensuring AI systems are auditable, interpretable, and aligned to regulatory expectations will be key. Faculty has long been a leader in AI safety and assurance. We're employed by the world's most elite AI labs, like OpenAI and Anthropic, to red-team their models prior to release. We've delivered pioneering work for the UK's AI Safety Institute and helped ensure the success of the Bletchley Summit - and we've been trusted by the FCA to help shape its AI Live Testing Initiative to accelerate safe AI adoption across the financial services sector. We're now looking for a Head of AI Validation for our Professional and Financial Services unit to build on those credentials and develop a compelling assurance proposition for that sector. The Head will define the specifics of the proposition - it could include everything from redesigning risk and control frameworks; building software to streamline work in second-lines; assisting post-mortem third-line audits; and developing reusable agentic evaluations and guardrails for technical teams. Faculty is making substantial financial investments in this area in the coming years, so this is a unique opportunity to define a best-in-class AI safety proposition inside a company that cares about it deeply. WHAT YOU'LL BE DOING - Formulating a multifaceted AI validation proposition that leverages Faculty’s world-leading credentials in AI safety - Generating incremental revenue by acquiring new clients and nurturing existing relationships across the financial and professional services sectors - Executing a commercial strategy that targets firms with the highest need for AI validation, audit, and risk management reform - Elevating Faculty’s market profile by producing impactful thought leadership for risk professionals, regulators, and legal circles - Overseeing the successful delivery of high-quality client outcomes through the development of reusable assets and robust delivery approaches - Fostering enduring, trust-based relationships with senior stakeholders in regulatory, audit, and compliance functions WHO WE'RE LOOKING FOR - You bring a strong technical background in model risk management, specifically in validating AI and machine learning applications within financial services - You possess a deep understanding of financial risks and can articulate how AI impacts and mitigates these challenges - You have proven commercial acumen and an entrepreneurial drive to craft new propositions in the growing AI governance market - You have an excellent grasp of financial regulations and can credibly engage with auditors, law firms, and regulators regarding global legislation - You are convinced of the value proposition for AI to automate and improve second-line risk processes, audit workflows, and legal services - You are a compelling communicator who thrives on building trust with senior stakeholders and navigating complex technical conversations with clarity OUR INTERVIEW PROCESS 1. Talent Team Screen (40 mins) 2. Introduction Interview (40 mins) 3. Case Study Interview (60 mins) 4. Leadership and Principles Interview (60 mins) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Silicon Validation Engineer, Software
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are seeking a skilled and motivated Silicon Validation Firmware Engineer to develop the firmware and low-level software that validates our AI/ML accelerator ASICs across their entire Lifecycle, from pre-silicon emulation and FPGA prototyping through post-silicon bring-up, characterization, and production ramp. In this role you will build the validation firmware, test content, and automation that prove our silicon works, and you will be hands-on debugging real hardware in the lab. Your work directly enables functional correctness, performance, and reliability of our cutting-edge products. Key Responsibilities - Develop and own low-level validation firmware in C/C++ that runs across emulation and physical silicon, providing test content pre-silicon and reusing it to drive post-silicon bring-up. - Drive early bring-up of first silicon: boot, initialization, feature enablement, and debug of ASICs. - Perform deep-dive debug of silicon issues spanning firmware, RTL, electrical, protocol, and system levels; root-cause and resolve failures. - Build firmware infrastructure including hardware abstraction layers (HALs) and low-level device drivers for compute units, memory subsystems, and high-speed interfaces. - Develop and extend validation automation, result-capture, and regression frameworks (CI/CD) to run validation at scale. - Author firmware-driven test plans and define coverage metrics across IP blocks and subsystems; execute functional, performance, and stress/corner-case testing. - Validate and characterize custom IP blocks and accelerator components on both pre- and post-silicon platforms. - Use debug consoles and lab tooling (JTAG, UART, logic/protocol analyzers) for silicon debug and characterization. - Collaborate closely with design, verification, architecture, DFT, and driver teams to ensure a smooth transition from pre-silicon verification to post-silicon validation, and to feed silicon issues back into revisions and firmware/driver workarounds. You may be a good fit if you have (Must-have qualifications) - Proficiency in C/C++ for firmware and bare-metal development, plus Python for validation automation and scripting. - Understanding of SoC/computer architecture (CPU cores, memory subsystems, caches, interconnects). - Solid low-level/embedded fundamentals: bootloaders, hardware abstraction layers, device drivers, register/interrupt programming, and bare-metal or RTOS environments. - Knowledge and familiarity developing and debugging in Linux environments. - Strong problem-solving, analytical, and cross-functional collaboration skills across hardware and software teams. - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field (Master's a plus). Strong candidates may also have experience with (Nice-to-have qualifications) - 2+ years of experience developing firmware / embedded software for ASICs or SoCs - Hands-on experience with silicon bring-up and low-level debug (boot, initialization, root-causing failures across firmware/electrical/protocol layers). - Experience with JTAG and debuggers (e.g., Lauterbach/GDB) and serial/UART debug consoles. - Experience across both pre-silicon (emulation, FPGA, RTL simulation) and post-silicon (lab bring-up, characterization) environments. - Experience with one or more high-speed interfaces: PCIe, DDR/LPDDR/HBM, SerDes, or die-to-die / chiplet interconnect. - Experience building test/validation automation and regression frameworks (CI/CD). - RTOS experience (FreeRTOS, Zephyr, NuttX) or RISC-V firmware development. - Familiarity with platform/system firmware (UEFI, ACPI, BMC, BIOS). - Ability to read RTL (Verilog/SystemVerilog) and debug in simulation. - Hands-on lab instrumentation experience (oscilloscopes, logic/protocol analyzers, BERTs) and signal-integrity awareness. Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2.5k per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch and dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Silicon Operations Program Manager
ABOUT ETCHED Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. KEY RESPONSIBILITIES PRODUCTION PLANNING & SCHEDULING - Develop and maintain end-to-end production schedules for silicon wafers, interposers, and test/assembly, supporting phases from engineering builds to mass production. - Coordinate with foundries, OSATs (Outsourced Semiconductor Assembly and Test providers), and internal stakeholders to ensure production milestones and quality goals are met. - Collaborate with test engineering teams to coordinate ATE test program development, bring-up planning, and bench validation hardware readiness. - Track and forecast capacity planning across all silicon manufacturing stages, including wafer fabrication, component procurement, assembly, and test. SUPPLY CHAIN COORDINATION - Manage the procurement, delivery, and scheduling of key silicon components (e.g., wafers, interposers, substrates) to ensure optimal time-to-market. 1. Act as the operational lead between internal teams and suppliers, ensuring transparency and alignment across silicon, packaging, validation, and manufacturing. 1. Prepare for mass production ramp by ensuring material readiness, test infrastructure availability, and logistic support to mitigate bottlenecks or delays. FORECASTING & REPORTING - Build and maintain demand forecasts for silicon and related components, based on build plans, yield assumptions, validation schedules, and market dynamics. 1. Share regular forecasts with supply chain partners and ensure proactive capacity allocation at foundries and OSATs. 1. Generate and maintain detailed dashboards and reports to track schedule adherence, capacity utilization, inventory status, and delivery performance for executive and technical stakeholders. YOU MAY BE A GOOD FIT IF YOU HAVE - Bachelor’s degree in Supply Chain Management, Industrial Engineering, Operations Management, or a related field. - 5+ years of experience in supply chain management, production planning, or operations within the semiconductor industry. - Deep understanding of the silicon lifecycle: tape-out, fabrication, packaging, test, bring-up, and validation - Proven track record working with foundries (TSMC, Samsung, etc.) and OSATs (ASE, Amkor, JCET, etc.). - Willingness to travel up to 25% for onsite supplier engagement, engineering builds, and production ramp support. - Strong understanding of: Silicon manufacturing processes, including wafer fabrication, dicing, bumping, CoWoS packaging, and testing; - Proficiency in using ERP systems (e.g., SAP, Oracle) and advanced Excel skills or analytics tools. - Experience with hardware validation cycles and managing silicon hardware logistics. - Exceptional program management and organizational skills with the ability to handle complex timelines and interdependencies. - Effective communicator and cross-functional leader across engineering, validation, and operations teams. STRONG CANDIDATES MAY ALSO HAVE - Experience working on advanced process nodes (e.g., 5nm, 3nm). - Familiarity with ATE platforms (Teradyne, Advantest) and test program infrastructure. - Prior experience managing silicon bring-up in hyperscale computing, AI/ML, or high-performance SoC environments. - PMP certification or equivalent project/program management training. - Familiarity with CoWoS or other 2.5D/3D packaging technologies. Benefits - Full medical, dental, and vision packages, with generous premium coverage - Housing subsidy of $2,500/month for those living within walking distance of the office - Daily lunch and dinner in our office - Relocation support for those moving to San Jose (Santana Row) How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
RMA & Repair Lead
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is seeking an RMA and Repair Lead to build and run the end-to-end returns and repair operation for our AI hardware — from the moment a customer reports a failure through diagnosis, repair, and supplier recovery. You’ll be responsible for managing the repair capability whether it’s in-house or through outsourced partners. This role is deeply technical and hands-on: you'll own the repair, debug, and failure analysis requirements for our products, translate our manufacturing processes into repeatable repair processes, and feed what you learn back into design and production. If you thrive in fast-paced environments, enjoy solving ambiguous problems, and want to shape the repair ecosystem at a rapidly scaling startup, this role is for you. Key responsibilities - Own the end-to-end RMA process — from customer return authorization through triage, repair or replacement, reverse logistics, and supplier recovery/warranty claims - Develop and manage RMA workflows, including return authorization, repair/replacement, and reverse logistics - Build and manage Etched's repair operations, whether in-house or outsourced, capacity planning, and day-to-day management of in-house depots and/or outsourced repair partners - Own the technical definition of repair: repair strategy by product and level (rack, server, module, component), debug flows, failure analysis requirements, test coverage, and repair-vs-scrap criteria - Translate production and manufacturing processes into repair processes — repair travelers, work instructions, tooling and fixtures, test stations, calibration, and operator training and certification - Build the data layer for repair: turnaround time, failure rates by part and failure mode, cost of service, and repeat-failure tracking — and close the loop with design, quality, and manufacturing to drive corrective actions and improve product reliability - Design and implement metrics and dashboards (turnaround time, failure rates, cost of service) to monitor and improve operations - Define SLAs and escalation paths, and act as the technical point of contact for escalated customer issues. You may be a good fit if you have (Must-have qualifications) - 8+ years of experience in Repair operations, RMA, or hardware support operations, including ownership of end-to-end returns flow - Direct experience standing up a repair operation — either building an in-house depot or selecting and managing an outsourced repair partner [ especially from scratch in a fast-paced environment - Strong hands-on technical depth in hardware debug, board- and system-level troubleshooting, and failure analysis. - Experience converting NPI/manufacturing process documentation into repair processes, work instructions, and test flows - Strong understanding of failure analysis (FA), root cause, and corrective action processes - Excellent communication skills and ability to work closely with customers, suppliers, and internal teams Strong candidates may also have experience with (Nice-to-have qualifications) - Experience supporting server, networking, or AI hardware deployments at rack scale - Familiarity with PLM/ERP systems for tracking returns, parts, repairs and warranty claims - Contract manufacturer or ODM relationship management, including repair statements of work and pricing - Data-driven service analytics — failure rate analysis, Pareto/FMEA, cost optimization, predictive maintenance - Global reverse logistics, customs, and cross-border repair flows - ISO standards, quality systems, and regulatory requirements for hardware returns and repairs Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2,500 per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch and dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Physical Design Engineer - Full Chip Implementatio...
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is building a new category of AI hardware: frontier inference clusters. As a top-level PD engineer, you will own full-chip implementation—encompassing floorplanning, P&R, clocking, timing analysis, physical verification, and sign-offs—from synthesis through to GDSII completion. You will lead critical efforts in these areas, leveraging our PD flows to drive aggressive PPA optimization and timing closure. You will collaborate closely with RTL designers to provide actionable feedback, ensuring we iterate at unprecedented speeds to bring our products to market. Key Responsibilities - Own full-chip clocking across all PVT corners and modes. - Manage MMMC (Multi-Mode Multi-Corner) timing closure at the top level. - Own timing constraints and hierarchical timing budgeting between top level and blocks. - Drive functional and timing ECO closure and achieve final timing signoff for tapeout. - Own end-to-end physical verification closure at block, sub-system, and full-chip level across DRC, LVS, ERC, antenna, density, fill, and top-level integration. - Debug complex PV violations across layout, routing, macros, IP, power grid, rule decks, and tool or setup issues, and fix violations directly in layout using Innovus. - Build a repeatable, tapeout-ready PV methodology with clean runs, waiver discipline, version control, triage, and final signoff reviews. You may be a good fit if you have - 10+ years of previous experience with chip planning, top level PD, floorplanning - Experience with top-level and full-chip closure on advanced process nodes (5nm and below) - Experience with Cadence (Innovus, Genus) or Synopsys (Fusion Compiler) automated RTL-to-GDSII flows - Experience with Synopsys PrimeTime and Cadence Tempus for timing signoff - Experience with Pegasus or Calibre for physical verification signoff - Experience with hierarchical timing budgeting, constraint management, and ECO closure - Experience with Cadence Innovus for top-level assembly, routing, and layout fixes - Deeply creative and able to think from first principles Strong candidates may also have experience with - Familiarity with modern ML and LLM model architectures - Ability to program with Python or another scripting language - Familiarity with AI tools for programming/coding - Startup experience or comfort working in fast-paced environments Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2.5k per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch and dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Physical Design Engineer - Flow & Methodologies
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is building a new category of AI hardware: frontier inference clusters. As a Physical Design Methodology Engineer, you will architect our PD flow from first principles. You will own the infrastructure that allows our design team to iterate at unprecedented speeds, directly accelerating our time-to-market and enabling PPA gains that aren't possible with off-the-shelf CAD methodologies. Key Responsibilities - Architect, build, and maintain our automated RTL-to-GDSII flow, from synthesis through place and route to signoff handoff. - Automate PD flows end to end, including regression running, run management, and release and version control of flow configurations. - Build and own the CAD infrastructure supporting PD, including tool version qualification and deployment, and efficient use of compute and licenses. - Drive dashboards that show the convergence of projects related to PD, including timing, physical verification, and utilization trends. - Optimize tool flows and work with EDA vendors to evaluate and incorporate the latest features. - Define reference flows, QoR targets, and delivery checklists for 3rd party physical design services, and audit deliveries against them. - Partner with block and top-level owners to debug flow issues and encode fixes into the methodology rather than one-off patches. - Create block level and full chip level PG mesh from scratch using design rule documents, design requirements, and EM/IR feedback. - Create and maintain a DRC-clean floorplanning flow and enable floorplan signoff checks. - Drive PPA tuning to optimize tool settings for best power, performance, and area outcomes. - Establish and maintain timing correlation from pre-route through post-route and between implementation and signoff tools. You may be a good fit if you have - 5-10+ years of previous experience with PD or PD methodology/CAD - Experience building and owning automated RTL-to-GDSII flows used by multiple block owners - Experience creating block level and full chip level PG mesh from scratch, including interpretation of design rule documents and EM/IR analysis - Experience with DRC-clean floorplanning flows and automated checks - Experience with Cadence (Innovus, Genus) or Synopsys ( Fusion Compiler) automated RTL-to-GDSII flows - Experience with PPA tuning and timing correlation across pre-route, post-route, and signoff environments - Experience integrating sign-off tools (PrimeTime, Tempus, Voltus, Pegasus, Calibre) into production flows - Experience with back-end design on advanced process nodes (5nm and below) - Experience with UPF-based low power design methodology and multi-mode multi-corner setup - Strong Tcl and Python skills for flow development and automation - Deeply creative and able to think from first principles Strong candidates may also have experience with - Familiarity with modern ML and LLM model architectures - Familiarity with AI tools for programming/coding - Experience with compute farm and job scheduler optimization for EDA workloads - Startup experience or comfort working in fast-paced environments Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2.5k per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch and dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Physical Design Engineer - Block Level, Subsystem...
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is building a new category of AI hardware: frontier inference clusters. As a Physical Design Engineer, you will own block-level implementation from synthesis through GDSII sign-off. You will drive Block-level & Subsystem PPA Optimization, and collaborate closely with RTL designers to provide actionable feedback, ensuring we iterate at unprecedented speeds to bring our products to market. Key Responsibilities - Own block-level and/or subsystem physical design end to end, including floorplanning, synthesis, placement, clock tree synthesis, and routing through GDSII. - Drive block-level timing closure across all corners and modes, including constraint development, STA debug, and functional and timing ECO implementation. - Close block-level signoff across EM, IR drop, RC extraction and correlation, and physical verification (DRC, LVS, antenna). - Generate abstracts, views, and timing budgets for clean hierarchical integration of your blocks into the top level. - Collaborate with RTL Designers and provide Physical Design feedback to improve PPA. - Continuously improve the PPA of owned blocks and contribute learnings back into the shared RTL-to-GDSII flow. - Supervise physical design work outsourced to 3rd party services and be accountable for the quality and closure of delivered blocks. You may be a good fit if you have - 5-10+ years of previous experience with PD - Tools, flow, and design methodology from RTL synthesis to GDSII sign-off - Experience with back-end design and timing closure on advanced process nodes (5nm and below) - Experience with Cadence (Innovus, Genus) or Synopsys (Fusion Compiler) automated RTL-to-GDSII flows - Experience with sign-off tools (PrimeTime, Tempus, Voltus, etc.) - Experience with UPF-based low power design methodology, power verification, synthesis, scan insertion/ATPG, formal verification, floorplanning, placement, CTS, routing, IR drop, and EM/antenna analysis - Scripting ability in Tcl, Python, or Perl for flow automation and debug - Deeply creative and able to think from first principles Strong candidates may also have experience with - Familiarity with modern ML and LLM model architectures - Ability to program with Python or another scripting language - Familiarity with AI tools for programming/coding - Startup experience or comfort working in fast-paced environments Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2.5k per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch and dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Physical Design Engineer
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Etched is looking for exceptional Physical Design engineers to join our team. In this role, you will own block-level implementation and verification, drive timing closure and PPA optimization, supervise 3rd party design work, and help improve our design flows and iteration speed. Key Responsibilities - Deeply understand what is involved in physical design - Running PD flows to close blocks, support ASIC infrastructure, automate PD flows, improve CAD infrastructure - Collaborate with RTL Designers and provide Physical Design feedback to improve PPA - Drive dashboards that show the convergence of projects related to PD - Optimize tool flows, working with EDA vendors to incorporate the latest features - Accountable for block level closure - Supervise the outsourcing of physical design to a 3rd party service You may be a good fit if you have - 5-10+ years of previous experience with PD - Tools, flow, and design methodology from RTL synthesis to GDSII sign-off - Experience with back-end design and timing closure on advanced process nodes (5nm and below) - Experience with Cadence (Innovus, Genus) or Synopsys (ICC2, Fusion Compiler) automated RTL-to-GDSII flows - Experience with sign-off tools (PrimeTime, Tempus, Voltus, etc.) - Experience with UPF-based low power design methodology, power verification,synthesis, scan insertion/ATPG, formal verification, floorplanning, placement, CTS, routing, IR drop, and EM/antenna analysis - Deeply creative and able to think from first principles Strong candidates may also have experience with - Familiarity with modern ML and LLM model architectures - Ability to program with Python or another scripting language - Familiarity with AI tools for programming/coding - Startup experience or comfort working in fast-paced environments Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2.5k per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch + dinner in our office - Unlimited compute budget subject to ROI justification How we’re different: Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
PD Intern
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As a Physical Design intern for Etched, you will be responsible for realizing our front-end designs in silicon, helping Etched to improve iteration speed to final signoff. You will assist in developing and running Physical Design flows to synthesize blocks, automate final design checks, and advise RTL design decisions. We are looking for Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you have - Progress towards a Bachelor’s, Master’s, or PhD degree in electrical engineering, computer engineering, or a related field. - Familiarity with high-speed digital logic - Exposure to ASIC or SoC design concepts - Familiarity with SystemVerilog, UVM, or Python - Familiarity with verification work and writing test benches - Familiarity with physical design flows and tooling - Are able to learn quickly about transformers and other aspects of modern artificial intelligence Strong candidates may also have experience with - Familiarity with modern ML and LLM model architectures - Familiarity with numerical representations and functions (RTL) - Familiarity with clocking and reset schemes (RTL/PD) - UVM or formal verification experience (DV) - Ability to program with Python or another scripting language We encourage you to apply even if you do not believe you meet every single qualification. Program details - 12-week paid internship - Generous housing support for those relocating - Daily lunch and dinner in our office - Based at our office in San Jose, CA - Direct mentorship from industry leaders and world-class engineers - Opportunity to work on one of the most important problems of our time For any questions, contact internships@etched.com How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
MTS, Inference Performance Visibility
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Join our team and take the lead in illuminating the performance landscape of our cutting-edge ML accelerator. We are seeking a highly skilled engineer to design and develop a sophisticated performance analysis tool, tailored specifically for our hardware. You will be instrumental in creating the essential tooling that enables our ML engineers and customers to understand workload behavior, identify performance bottlenecks, and unlock the full potential of our hardware, accelerating the most demanding ML applications in the world. This is a unique opportunity to shape performance analysis for novel hardware from the ground up. Key responsibilities - Lead the design and architecture of a comprehensive performance analysis suite, including data collection mechanisms, data processing pipelines, analysis engines, and user interfaces (CLI and/or GUI). - Develop robust methods to capture performance data directly from our custom ML accelerator hardware (e.g., hardware performance counters, execution unit status, memory access patterns) via driver interfaces or other mechanisms. - Implement tracing for host-side API calls (runtime libraries, driver interactions) and system-level events (CPU activity, PCIe traffic, memory usage, network contention) related to our workloads. - Design and implement techniques to accurately correlate performance events across the host CPU, device driver, PCIe bus, multiple accelerators, and multiple hosts, ensuring precise time synchronization. - Build analysis modules to automatically interpret collected trace and counter data, identifying key performance limiters (e.g., compute-bound, memory bandwidth-bound, latency-bound, PCIe-bound, specific hardware bottlenecks). - Develop intuitive visualizations (timelines, dependency graphs, resource utilization charts, statistical summaries) to clearly communicate performance characteristics and bottlenecks to users. - Work closely with hardware architects, firmware engineers, driver developers, compiler engineers, and ML application engineers to understand their needs, define tool requirements, and provide expert guidance on performance analysis and optimization using the tool. Representative projects - Architect and implement the core data collection framework for hardware performance counters on a custom PCIe-based accelerator. - Develop a kernel driver module or user-space service for low-overhead tracing of accelerator activity. - Design and build a correlated timeline view visualizing CPU API calls, driver submissions, PCIe transfers, and accelerator execution units. - Create an analysis pass to detect and quantify memory access inefficiencies or PCIe bandwidth saturation while transacting on a PCIe-attached accelerator. You may be a good fit if you have - Strong proficiency in C++ or Rust - Proficiency in Python is a plus - Deep understanding of computer architecture (CPU, GPU, accelerators), memory hierarchies (caches, DRAM), and interconnects (especially PCIe). - Proven experience in low-level performance analysis, profiling, and bottleneck identification on complex hardware systems (GPUs, CPUs, FPGAs, or custom accelerators). - Experience with performance analysis tools (e.g., NVIDIA Nsight, AMD uProf, Intel VTune, perf, Tracy, ETW). - Experience working close to hardware, potentially reading performance counters or interacting directly with device drivers. Strong candidates may also have experience with (Nice-to-have qualifications) - Direct experience developing performance analysis or debugging tools. - Experience with ML accelerator architectures (GPUs, TPUs, etc.). - Experience with kernel-mode driver development (Linux or Windows). - Understanding of compiler internals, code generation, and optimization. - In-depth knowledge of the PCIe protocol and analysis tools (PCIe analyzers). - Experience with multi-chip or multi-host accelerator systems (e.g., TPU pods, or NVidia DGX clusters) - Experience with firmware or embedded systems development. - Experience with hardware description languages (Verilog, VHDL) or hardware verification. Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2.5k per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch + dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Kernel Driver Software Engineer
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Key Responsibilities - Design, develop, and maintain kernel-mode drivers ensuring high reliability, informative debug, and optimal performance. - Analyze and optimize driver performance for demanding AI workloads, focusing on minimizing latency and maximizing throughput. - Collaborate closely with hardware engineers throughout the ASIC design process.. - Implement driver support for device virtualization technologies, including SR-IOV, VFIO, and para-virtualization. - Implement efficient memory management strategies considering kernel memory mapping, page tables configuration, NUMA awareness for device data caching, and IOMMU configuration. - Build kernel drivers fundamentally designed to support and maintain security across host processes, physical memory spaces, and device attestation. - Diagnose and resolve complex driver-related issues, using common kernel debugging tools and techniques (ftrace, dmesg, etc.) to identify and fix bugs. - Design and implement synchronization mechanisms to handle concurrent access to multiple accelerators. - Develop and execute comprehensive test plans to validate driver functionality, stability, and performance in manufacturing and in general production environments. - Collaborate with software and hardware teams to diagnose and resolve complex system-level issues. Representative Projects - Develop and optimize kernel-mode drivers for new ML accelerators. - Implement and optimize memory management, including kernel memory mapping and IOMMU configurations, for high-bandwidth data transfers. - Debug and resolve complex driver-related issues impacting ML workload performance. - Develop performance benchmarks and profiling tools to analyze driver performance. - Integrate driver support for advanced features like hardware virtualization and security, including SR-IOV and VFIO. - Optimizing PCIe communication between the host and PCIe devices, using advanced equipment like PCIe analyzers. - Implement and debug power management features for PCIe devices. - Integrating ML accelerators into containerized and virtualized environments. - Implementing and optimizing para-virtualization techniques for PCIe devices. - Configure and optimize page tables for efficient memory access from the ML accelerator. - Participate in hardware-software co-design reviews across teams to optimize performance and power efficiency. You may be a good fit if you have - Proficiency in C/C++. - Strong understanding of kernel-mode driver development and debugging. - Deep understanding of operating system internals (Linux preferred). - Experience with hardware/software interfacing and device drivers. - Experience with memory management and synchronization in kernel environments. - Strong understanding of PCIe and other hardware interfaces. - Experience with device virtualization technologies, including SR-IOV and VFIO. - Strong understanding of kernel memory mapping, page table configuration, and IOMMU. - Familiarity with hardware-software co-design principles. - Proven ability to analyze complex technical problems and provide effective solutions. - Excellent communication and collaboration 1 skills. - Experience with version control systems (e.g., Git). - Experience with debugging tools (e.g., gdb, kgdb). Strong candidates may also have experience with (Nice-to-have qualifications) - Candidates with experience in developing and debugging kernel-mode drivers for GPU or other accelerator devices. - Candidates with a strong understanding of hardware/software interactions. - Candidates with experience in optimizing driver performance for demanding workloads. - Candidates with experience in ML workloads. - Candidates who have debugged complex hardware and software interactions, especially in virtualized environments. - Candidates with experience in implementing and optimizing SR-IOV and VFIO. - Candidates with in-depth knowledge of kernel memory mapping, page tables, and IOMMU. - Candidates with experience in hardware-software co-design projects. - Experience with GPU driver development. - Experience with CUDA, OpenCL, or other GPU programming models. - Experience with performance profiling and benchmarking tools (perf, VTune). - Knowledge of hardware virtualization techniques, including para-virtualization. - Experience with CI/CD pipelines. - Experience with Rust. - Experience with ML frameworks like Tensorflow or Pytorch. - Experience with data center orchestration technologies (Kubernetes, Docker). Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2,500 per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch + dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Inventory Warehouse Coordinator
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are hiring an Inventory Warehouse Coordinator to support inventory operations across Etched facilities and in-house engineering labs. This role is critical to ensuring engineers have the right parts, tools, and systems available when needed to keep development and builds on schedule. This is a highly hands-on role centered on receiving, inventory control, material organization, and internal fulfillment. You will pick up incoming packages from the loading dock, inspect and receive materials into our internal systems, check items into inventory, maintain accurate inventory records, and fulfill requests from engineering teams. You will manage incoming and outgoing shipments, inventory organization and warehouse processes while maintaining high accuracy and safety standards. It is ideal for someone who enjoys hands-on work, has strong attention to detail, and takes pride in maintaining accurate and organized inventory in a fast-paced hardware environment. This role runs on a swing shift (3pm–12am, Monday through Friday) and requires reliable transportation between Etched locations in San Jose (Santana Row) and Milpitas. Key Responsibilities Receiving & Material Handling - Pick up incoming packages and deliveries from the loading dock and transport them to the receiving area - Receive, inspect, and log incoming components, assemblies, tools, equipment, and supplies - Record detailed item information in internal systems and check materials into the inventory tracking system - Verify quantities, part information, and documentation against purchase orders and packing lists - Coordinate with Supply Chain, Logistic and Engineering teams on discrepancies or missing information - Label and route materials to the lab, storage locations, or build areas - Package items and prepare packages for outbound shipment - Operate 8000 lbs forklift (training will be provided) Inventory & Organization - Maintain accurate inventory records in internal systems and spreadsheets - Maintain real-time visibility into material status via ERP (NetSuite) and inventory tracking tools - Organize and manage storage areas to ensure efficient retrieval and clear part identification - Conduct cycle counts and support inventory reconciliation efforts Warehouse Operations Management - Maintain clean, safe, and organized lab and warehouse spaces - Operate basic material-handling equipment, such as pallet jacks, carts and a forklift - Ensure compliance with safety and handling requirements for sensitive components, including ESD, fragile, and high-value parts - Identify opportunities to improve labeling, storage systems, and material flow efficiency - Transport and coordinated packages and material movement between Etched facilities Internal Lab Support - Serve as a point of contact for engineers requesting parts, tools, equipment, and supplies - Pick, stage, and distribute inventory for engineering builds, testing activities, and daily operational needs - Enable engineering production through efficient material movement You may be a good fit if you have - 2–5 years of experience in warehouse operations, shipping/receiving, or inventory control - Familiarity with ERP or inventory tracking systems, such as NetSuite or SAP - High attention to detail and ability to follow standard operating procedures precisely - Strong communication skills and ability to coordinate closely with Engineering and Operations teams - Comfort working in a hands-on, physical environment, including lifting and moving materials up to approximately 50 lbs - Basic proficiency with spreadsheets and inventory tracking systems - Prior lab or warehouse experience in a semiconductor or hardware environment - Familiarity with startup operations or fast-paced R&D cycles - Experience supporting inventory audits or compliance processes Compensation - This is a 1099 contract position, expected to be 40 - 50 hours per week. Compensation is hourly and competitive, based on experience and qualifications. - As a contractor, this role is not eligible for full-time benefits (e.g., medical, dental, vision insurance), but you will have: - Access to daily lunch and dinner at our San Jose office and provided daily meal stipend How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
DV Intern
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As a Design Verification intern, you will ensure the custom IPs powering our chips — including systolic arrays, DMA engines, and NoCs — are robust, high-performance, and silicon-ready. This role demands creativity, deep technical ability, and the drive to tackle complex verification challenges. You will collaborate with architects, RTL designers, and SW/FW/emulation teams to validate correctness and performance across the full hardware-software stack. We are looking for Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you have - Progress towards a Bachelor’s, Master’s, or PhD degree in electrical engineering, computer engineering, or a related field. - Familiarity with high-speed digital logic - Exposure to ASIC or SoC design concepts - Familiarity with SystemVerilog, UVM, or Python - Familiarity with verification work and writing test benches - Familiarity with physical design flows and tooling - Are able to learn quickly about transformers and other aspects of modern artificial intelligence Strong candidates may also have experience with - Familiarity with modern ML and LLM model architectures - UVM or formal verification experience - Ability to program with Python or another scripting language We encourage you to apply even if you do not believe you meet every single qualification. Program details - 12-week paid internship - Generous housing support for those relocating - Daily lunch and dinner in our office - Based at our office in San Jose, CA - Direct mentorship from industry leaders and world-class engineers - Opportunity to work on one of the most important problems of our time For any questions, contact internships@etched.com How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Developer Experience Engineer
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are looking for a Developer Experience Engineer to enhance developer productivity, automation, and infrastructure across our hardware and software teams. You will work at the intersection of DevOps, software engineering, and high-performance computing (HPC), building systems that accelerate chip design, simulation, and AI model deployment in a cloud and on-prem hybrid environment. Key responsibilities - Develop and maintain automation tools to streamline development, testing, and deployment workflows. - Optimize and manage Slurm-based job scheduling for AI workloads, simulation, and chip design workflows. - Build observability solutions using Grafana, Prometheus, and OpenTelemetry for monitoring pipelines, infrastructure, and compute clusters. - Manage and optimize containerized environments using Docker and Kubernetes to enhance scalability and reproducibility. - Enhance build, test, and deployment pipelines with CI/CD tools like GitHub Actions, Jenkins, Buildkite, or Bazel. - Develop caching and artifact management systems to reduce build times and improve dependency resolution. - Integrate and manage cloud resources (AWS, GCP) for scaling compute, storage, and hybrid workloads. - Support security and compliance efforts including secrets management and access control. - Document and share best practices for efficient developer tooling and workflows. You may be a good fit if you have - Strong Python skills for automation, scripting, and infrastructure development. - Experience with Slurm job scheduling in an HPC or hybrid environment. - Hands-on experience with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry. - Expertise with Docker and Kubernetes, including Helm charts and cluster management. - Proficiency in modern CI/CD pipeline management with tools like GitHub Actions, Jenkins, or Buildkite. - Experience with infrastructure-as-code tools like Terraform or Ansible. - Knowledge of cloud infrastructure, compute, and storage optimization on AWS or GCP. Strong candidates may also have experience with - Data pipelining for AI/ML workflows using Airflow, Prefect, or Dagster. - Build system expertise with Bazel, CMake, or distributed build systems. - Secrets management tools such as Vault, SOPS, AWS Secrets Manager, or GCP Secret Manager. - AI/ML model training workflows and monitoring GPU-accelerated workloads. - Exposure to FPGA or ASIC development environments and workflows. Benefits - Full medical, dental, and vision packages, with generous premium coverage - Housing subsidy of $2,500/month for those living within walking distance of the office - Daily lunch and dinner in our office - Relocation support for those moving to West San Jose - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Core Engineering Intern
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across prefill and decode. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, we're redefining the infrastructure layer for the fastest growing industry in history. Job Summary Core Engineering is our special projects team. This team identifies critical gaps across Etched and builds solutions 0 to 1, often in days, with immediate feedback loops. You might build internal tools to unblock a hardware team, prototype systems for manufacturing execution, or design, evaluate, and deploy agentic systems for our most challenging R&D problems. This role is for engineers who thrive on ambiguity, move fast without sacrificing quality, and get energy from solving whatever problem matters most right now. It is a whiteboard for future founders – if you're interested in shipping 0-1 production-level code every week, this role is for you. This role requires exceptional full-stack engineering capabilities, deep product sense, personal accountability, and a knack for building from the ground up. At Etched, we're developing our processes for scale, and we're looking for engineers to deploy to our toughest challenges. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that. This is not a shadowing program. You will own a real project, scoped to land in production and shape how Etched executes. You may be a good fit if you: - Have a track record of solving hard problems across stacks and domains — you enjoy being dropped into unfamiliar territory and figuring it out - Have something you built that you can walk us through in depth. Depth in one thing beats a list of ten - Are comfortable with Python and TypeScript: you can read it, modify it, debug it, and direct AI to write it well. We don't care whether you write code from scratch, but we do care whether you ship things that work - Have product sense and its necessary prerequisites, from AI tooling proficiency to design taste - Bias towards action and comfort with incomplete information Strong candidates may also have: - Data engineering, infrastructure or DevOps experience, and deploying operational systems in enterprise environments - Experience wielding frontier models on frontier problems: an eval-driven mindset — you measure whether AI systems work, identify where they fall short, and know how to hillclimb - High agency and comfort with ambiguity — you find the real problem to solve - Prior startup experience, especially during hyper growth We encourage you to apply even if you do not believe you meet every qualification Program details - 12-week paid internship (June - August 2026) - Generous housing support for those relocating - Daily lunch and dinner in our office - Based at our office in San Jose, CA - Direct mentorship from industry leaders and world-class engineers - Opportunity to work on one of the most important problems of our time For any questions, contact internships@etched.com How we're different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference. We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Technical Program Manager
ABOUT US Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. THE ROLE We're hiring Technical Program Managers in London to run Encord's highest-stakes human data projects end to end — the work for frontier AI labs and physical AI companies, in specialist domains such as medical imaging and robotics, and the data types we are running for the first time. These are the projects where the technical complexity is highest and where a mistake is expensive. You will work at the point where machine learning requirements become annotation work: translating what a research team actually needs into workflows, standards and instructions that a specialist workforce can execute at volume, then holding the result to a measurable standard. This is the load-bearing role in the business, and it is a hands-on one. You will know your projects' annotation standards better than anyone at the company, teach them to the annotators producing the work, decide who works on what, judge who is performing and who should come off, resolve the edge cases nobody anticipated, and answer for the delivery timeline. You will run several projects at once, and you will own how they are run. WHAT YOU'LL DO - Own delivery of your projects end to end — throughput, quality and timeline - Translate complex machine learning requirements into clear annotation workflows, and design the process that produces the data the model actually needs - Become the deepest expert at Encord on your project's annotation standards, and the person who resolves ambiguity and edge cases as they surface - Maintain quality through process refinement, auditing and structured feedback loops, rather than through inspection at the end - Train annotators onto the project and keep them improving — building the material yourself until our Learning & Development Specialist is in place - Coach your annotation teams: give them the context behind the task, not only the rules, and develop their skills as the work gets harder - Measure annotator performance and make the calls it implies: who continues, who needs retraining, who comes off the project - Allocate tasks and manage the queue so that throughput and quality targets are met together rather than traded against each other - Instrument the project at launch with the Quality Systems Lead — acceptance criteria, sampling plan, reviewer ratio — so it is measurable before the first batch ships - Produce the delivery reporting for customers, and surface risk early enough that something can still be done about it - Partner with Product and Engineering on process and tooling improvements, and feed recurring problems back into the playbooks, into training and into the platform WHO WE'RE LOOKING FOR - You go deep on the detail. Your instinct is to read the whole specification and annotate fifty items yourself before you assign anyone else - Execution-oriented: you are measured by what shipped, not by what was planned, and you would rather fix a workflow than document one - Analytically rigorous. You work in numbers — throughput, quality rate, utilisation — and you notice when one is being bought at the expense of another - Technically fluent enough to work with ML teams on what they need and why, and to pull your own data rather than wait for it - You make people calls on evidence rather than on impression, and you can have the difficult version of that conversation - Organised under real load: several projects, several time zones, and requirements that move - A clear writer and a strong cross-functional communicator. Most of the workforce delivering your project you will never meet in person - Entrepreneurial: when a date is at risk your first move is to re-plan, not to escalate, and you invent the process where none exists - Genuinely interested in AI and in what the data you are producing is actually for EXPERIENCE REQUIREMENTS - 3–7 years of professional experience, ideally combining operational delivery with analytical work — AI data or annotation operations, strategy consulting, or data and operations roles at leading technology companies - Demonstrated end-to-end ownership of complex, multi-stakeholder workflows, with responsibility for the outcome rather than the coordination - Working proficiency in Python or SQL - Direct experience managing, coaching or performance-managing a distributed workforce - Track record of holding quality and throughput at the same time, with the numbers to show it - Experience translating a detailed technical specification into instructions other people can follow - Bonus: direct experience of annotation, evaluation or model-training workflows WHY ENCORD - Competitive salary, commission, and equity in a high-growth startup - Strong in-person culture — most of the team works from our London office 4+ days/week - 25 days annual leave + UK public holidays - Annual learning & development budget - Travel for customer visits, events, and conferences across the UK and Europe - Company lunches twice a week - Monthly socials & bi-annual team offsites
Senior Product Engineer
About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role As a Product Engineer at Encord, you'll be embedded at the core of our product — owning features end-to-end, from the API design and backend systems all the way through to the UI that annotation teams, ML engineers, and compliance officers use every day. You won't be handed specs; you'll help write them. We care deeply about product craft, technical excellence, and shipping things that genuinely matter to our clients. If you have strong opinions about what good software looks and feels like — and the drive to make it happen — you'll fit right in. What you'll do - Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI - Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines - Iterate rapidly on product and ship high-quality features at pace, maintaining strong CI/CD and testing practices throughout - Work closely with customers, product, and design to understand problems deeply and deliver solutions that create real impact - Contribute to shaping how the team works — our architecture decisions, engineering culture, and product direction are all open for input Who we're looking for - You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed - You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day - You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary. - You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly - You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go - You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you Experience requirements - Strong full-stack engineering experience, with a strong track record of shipping products you're proud of - Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language) - Strong front-end skills — comfortable with building polished, responsive interfaces, ideally with React - Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes) is a plus - Experience building at scale in a fast-paced startup or high-growth environment - Exposure to machine learning workflows or ML infrastructure is a plus Tech stack - We are technology-agnostic at Encord and are not looking for experience across all of these — as long as you're open to learning, please apply. - Backend: Python - Frontend: TypeScript and React - Deployment: Kubernetes - Infrastructure: GCP - Machine learning: PyTorch, CUDA, Ray Why Encord - Competitive salary, commission, and meaningful equity in a high-growth startup - Strong in-person culture — most of the team works from our London office 4+ days/week - 25 days annual leave + UK public holidays - Annual learning & development budget - Travel for customer visits, events, and conferences across the UK and Europe - Company lunches twice a week - Monthly socials & bi-annual team offsites
Quality Systems Lead
ABOUT US Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. THE ROLE We're hiring a Quality Systems Lead to own how Encord measures the quality of the human data we deliver to frontier AI labs, physical AI companies and enterprise AI teams — the standard itself, the systems that evaluate against it, and the audit function that produces the ground truth behind both. Data quality is what our customers buy. As we scale across data types — image and video, document, medical, LLM evaluation, robot teleoperation, egocentric capture — quality coverage cannot scale linearly with headcount. So this role has two halves that make each other work. You will build automated evaluation: model-assisted and LLM-based screening, agreement analysis at scale, anomaly and drift detection across annotation output. And you will build and run a dedicated audit team of around ten specialists in India, whose judgements become the labelled ground truth that trains and calibrates that automated layer. As coverage automates, the audit team moves up to the cases models can't judge and to generating gold sets for each new data type we take on. It is an unusual combination — engineering and consistent QC operations in one person — and it is the combination the job needs. You will also have an advantage your counterparts elsewhere in the industry don't: Encord owns the platform this work runs on, so the measurement you build can become native capability in the product rather than internal tooling. WHAT YOU'LL DO - Build automated dataset quality evaluation and root-cause detection — model-assisted and LLM-as-judge screening, agreement analysis at scale, anomaly and drift detection across annotation output - Hire, train, calibrate and manage a dedicated audit team of around ten specialists based in our India operation, held to inter-rater agreement and catch rate rather than volume audited - Turn audit output into labelled ground truth that trains and validates the automated layer, and manage the ratio of automated to manual coverage deliberately over time - Own the quality standard for every data type we deliver — written rubrics with worked edge cases, golden sets, and acceptance criteria agreed with the customer, alongside the Special Projects lead, before the first batch ships - Build scoring systems that rank annotator and reviewer performance and feed routing, staffing and offboarding decisions - Set the pass thresholds that certification gates on, so nobody works a project queue without having demonstrated they meet the standard - Report quality KPIs to leadership, and into the reporting our Special Projects leads take to customers: accuracy against client spec, inter-annotator agreement, rework rate, cost of rework, and coverage - Work with Project Management on remediation — you produce the measurement and the diagnosis, production owns fixing the project, and the standard stays independent of the people being measured - Own the unit economics of quality: cost per audited unit, and the coverage you buy per pound spent - Partner with Product and Engineering to bring quality measurement into Encord platform as native capability WHO WE'RE LOOKING FOR - You build and you operate. You'll write the evaluation pipeline, and you'll also run the weekly calibration session with ten auditors in another country - Your instinct on a coverage problem is to automate it — you reach for a model, a heuristic or a better sampling design before you reach for more auditors - Statistically literate in a practical way: sampling design, agreement statistics, and the judgement to spot a metric being optimised against rather than met - You can hold a calibrated standard across a distributed team you don't sit with — you know that ten uncalibrated auditors produce ten standards - A strong writer. Much of this job is producing rubrics a distributed workforce can follow without you in the room - You hold a standard under commercial pressure, and you bring the evidence that makes it stick with a delivery team or a client - Systems thinker: as interested in why a failure recurs across projects as in this project's defect rate EXPERIENCE REQUIREMENTS - 4+ years owning both technical and operational outcomes in a data, AI or service delivery environment where quality was measured rather than asserted - Hands-on Python and SQL. You build the analysis and the tooling rather than specify it for someone else - Practical experience applying models to a quality or evaluation problem — LLM-as-judge, model-assisted QA, automated evaluation, anomaly detection or classifier-based screening - Sampling methodology and agreement statistics (Cohen's and Fleiss' kappa, F1 against ground truth) applied to real production data - Experience hiring, training and managing a team, ideally an audit, review or QA team, and ideally distributed - Track record of building a quality framework or function, including the reporting leadership and customers run on - Bonus: direct experience of annotation, evaluation or model-training workflows, and of what frontier AI labs accept as evidence of quality - Bonus: a STEM degree, or a background in data science or research engineering - Bonus: multilingual delivery and linguistic quality assessment WHY ENCORD - Competitive salary, commission, and equity in a high-growth startup - Strong in-person culture — most of the team works from our London office 4+ days/week - 25 days annual leave + UK public holidays - Annual learning & development budget - Travel for customer visits, events, and conferences across the UK and Europe - Company lunches twice a week - Monthly socials & bi-annual team offsites
Product Engineer
About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 60; now, we’re 150 and continuing to accelerate. What to expect - High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own. - Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company. - End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements. - Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. - Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot compared to your peers. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed. - Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent. - Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly. - Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go. - Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use. - Backend: Python - Frontend: Typescript and React - Kubernetes for deployment - GCP for underlying infrastructure - Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup. - Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle. - Strong in person culture. We're 4-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe). - Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
DevOps Engineer
About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're looking for a DevOps Engineer with 4+ years of experience to join our growing platform engineering team in New York. You'll be embedded in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable. You'll drive a culture of automation, performance, and resilience through individual contributions and collaboration with multiple squads. What You'll Do - CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group. - Infrastructure & Cloud Design, deploy, and maintain cloud infrastructure on GCP and AWS; manage Kubernetes clusters, networking, and storage at petabyte scale, with infrastructure-as-code as the default. - Automation & Tooling Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists. - Performance & Capacity Profile and optimise services handling large-scale data pipelines; perform capacity planning for storage and compute-intensive workloads. Work with squads to establish performance benchmarks and expectations. - Reliability & Availability Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture. - Observability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production. What We're Looking For - 4+ years of hands-on DevOps, platform engineering, or SRE experience in a production environment. - Strong experience building and maintaining CI/CD pipelines and deployment automation at scale. - Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management. - Strong fundamentals in designing, building, and maintaining resilient distributed and/or high performance systems. - Hands-on experience with Kubernetes and containerised workloads in cloud environments (GCP and/or AWS). - Solid understanding of networking, operating systems, and database technologies. - Experience with observability fundamentals metrics, logs, traces, and alerting. Tech stack - We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply. - Backend: Python - Frontend: TypeScript and React - Deployment: Kubernetes - Infrastructure: GCP - Machine learning: PyTorch, CUDA, Ray What We Offer - Competitive salary and equity in a hyper growth startup. - Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle. - Strong in person culture. We're 4 days a week in our newly-launched office. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe). - Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
Software Engineer, Data Infra
Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors. The Role As a Software Engineer, Data Infra you are the architect of the "Laboratory" where Dyna’s robotic intelligence is refined. You won't just move data; you will build the interactive systems that bridge the gap between raw multimodal sensor streams and production-ready ML models. This is a high-impact, hands-on role where you will design the infrastructure to visualize model performance, automate data labeling, and manage the "human-in-the-loop" workflows - such as teleoperation and skill capture - that are critical to our scaling. If you enjoy solving complex geometric problems and building the low-friction tools that empower ML researchers, you’ll thrive here. WHAT YOU’LL DO - Interactive Data Systems: Architect the engines and interfaces that unify raw robot logs, video, and 3D sensor data. You will enable seamless "human-in-the-loop" workflows, from episode annotation to analyzing manual interventions. - Signal Extraction & Geometry: Design and implement algorithms to extract structured signals (trajectories, events, 3D poses) from raw captures. Strong mathematical intuition is required to turn pixels and point clouds into ground-truth insights. - Evaluation & Benchmarking: Build high-performance tools to compare model-driven motion against human-captured data, helping the team quantify model progress across diverse tasks. - Scalable ML Pipelines: Build and operate distributed data pipelines (using Python, GCP/AWS, and Kubernetes) for the ingestion, transformation, and validation of terabytes of multimodal data. - Observability & Debugging: Develop visualization tools that make complex model behaviors and sensor data easy to interpret, reducing the time from "data collected" to "model trained." - Startup Fluidity: Collaborate across ML, Robotics, and Product teams. As an early member of the data team, you will help define the roadmap where no blueprint yet exists. WHAT YOU’LL BRING - The Experience: 5+ years of professional software experience, ideally with a focus on data-intensive or "human-in-the-loop" platforms. - Technical Stack: Proficiency in Python (NumPy, Pandas) and a solid understanding of modern backend architectures. Experience with React/TypeScript is a major plus for building internal observability tools. - Mathematical Core: Strong skills in algorithms and geometric calculations (e.g., coordinate transformations, 3D spatial reasoning). - Data Mastery: Hands-on experience with relational and NoSQL databases (PostgreSQL, Redis) and cloud-native infrastructure (GCP/AWS). - Problem-Solving: The ability to debug real-world data issues - from sensor drift to pipeline bottlenecks - independently. BONUS POINTS FOR: - Experience with multimodal data (video, LiDAR, time-series) in robotics or autonomous systems. - Familiarity with Airflow, Kubeflow, or similar distributed batch processing systems. - Experience with experiment tracking frameworks like Weights & Biases or MLFlow. - Experience as an early hire in a fast-paced startup environment. At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect. Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.
Annotation Operations Manager
Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors. THE ROLE This role owns the operational layer of that work. You will run the operation from day one, covering process, reporting, and third party relationships, and step into people management progressively, starting with a small pod of labelers and growing into the full team as you prove yourself. Our Annotation Lead keeps the technical judgment calls: model calibration and promotion, ontology and failure taxonomy design, and cost and planning strategy. You are the person who makes the annotation engine run predictably every single day. WHAT YOU'LL DO Operations and reporting - Own the reporting rhythm. Run daily and weekly throughput reporting across all active datasets, covering episode totals, review stage progress, and ETAs, and distribute scorecards to the labeling team and stakeholders. - Keep the pipeline moving. Own the Encord pipeline end to end: create and configure projects, set up SOPs and ontologies, move datasets through annotate, review, and complete stages, handle grade splits, assignments, and resyncs, and keep dataset updates flowing as new footage lands. - Measure and unblock. Track and continuously improve operational metrics such as throughput per headcount, per dataset cycle times, and expected versus actual labeling time, and flag bottlenecks before they turn into blockers. - Automate the mechanical. Extend and maintain the automation and runbooks behind these tasks, like the scripted daily totals send, so manual toil shrinks over time. People and team management - Start with a pod, then scale up. You will begin by leading a small pod of labelers, owning their day to day assignments and first line supervision. As that proves out, you will transition into managing the full annotation team, about 12 people today and growing, and formalize sub leads as it scales. - Handle approvals. Own timecard, payroll hours, and approval workflows for the team. - Grow the team. Run hiring for the annotation team end to end, including sourcing, interviewing, onboarding, and ramp. - Develop people. Own performance management: regular 1:1s, performance reviews, coaching, and quality feedback loops. Third party and vendor management - Own the relationships. Be the primary point of contact for our annotation platform (Encord) and for external labeling vendors and partners. - Coordinate partners. Run external workstreams by provisioning access and invites, standing up projects and SOPs for partners, and managing scope and priorities with them. - Manage the handoffs. Own the scale and vendor upload runbook, and make sure data moves cleanly between our systems and external tooling. - Absorb the overhead. Represent annotation ops in vendor and external syncs so the rest of the team stays focused. WHAT YOU'LL BRING - 3+ years running operations, program management, or team management, ideally in data annotation, data operations, ML data pipelines, BPO or vendor management, or a comparable high throughput environment. - Direct people management experience. You have supervised a team, run hiring, and handled performance and approvals. - Strong operational instincts. You build repeatable processes, track the right metrics, and are comfortable owning dashboards, scorecards, and reporting. - Comfort with annotation and labeling tooling such as Encord, plus enough technical fluency to work in spreadsheets, basic SQL or scripts, and pipeline tools without hand holding. - Vendor and third party management experience. You can be the accountable point of contact and keep external partners on scope and on schedule. - A high tolerance for fragmentation. You can hold roughly 20 small threads a week and still keep the operation predictable. - Clear, proactive communication. You surface risks early and keep stakeholders aligned. BONUS POINTS FOR - Exposure to robotics, computer vision, or imitation learning data. - Experience automating manual ops workflows with scripts or lightweight tooling. - Experience scaling an annotation team through a growth phase and standing up sub leads. At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect. Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.
Senior AI Support Engineer (Paris)
ABOUT DUST Work is being rewritten, and the people holding the pen are the ones who actually run it. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers https://dust.tt/customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia https://techcrunch.com/2024/06/27/dust-grabs-another-16-million-for-its-enterprise-ai-assistants-connected-to-internal-data/ with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 https://www.linkedin.com/posts/dust-tt_were-honored-to-be-recognized-on-the-generalists-activity-7359284343929741313-Rq04. THE ROLE Support at Dust is not a cost center. It is one of the most important product surfaces we own. As a Senior AI Support Engineer, you will help define what world-class support looks like in an AI-native company. You will not just resolve tickets. You will own the systems, agents, workflows, and feedback loops that make support better, faster, and more scalable over time. This is a senior individual contributor role for someone who has already operated close to support strategy, technical escalation, user experience, and automation. You should be excited by the idea of taking recurring customer pain and turning it into durable systems: better agents, better documentation, better internal tooling, sharper product feedback, and fewer repeat issues. The best person for this role is not a traditional support leader who wants to manage a queue from a distance. It is someone with strong technical instincts, a deep user mindset, and a track record of building support systems that change how a team operates. You might be a great fit if you have built an AI-powered support function, owned support tooling at scale, worked deeply with LLMs or automation, or carried a support strategy from problem discovery through implementation and measurement. WHAT YOU WILL OWN BUILDING THE AI SYSTEMS THAT MAKE SUPPORT SCALE You will design, build, and continuously improve the AI-powered systems that help Dust support customers with speed and quality. This includes agents for ticket classification, auto-acknowledgement, response drafting, internal routing, proactive incident detection, knowledge retrieval, and escalation support. You will identify categories of recurring issues and engineer them out of the support queue. Sometimes that means building a better Dust agent. Sometimes it means improving documentation, creating an internal tool, tightening a workflow, writing a script, or escalating product feedback upstream with enough context for engineering to act. You will be expected to measure whether the systems you build actually improve the user experience. Seniority here means not just shipping tooling, but knowing what good looks like, instrumenting it, and iterating until the impact is visible. RUNNING COMPLEX SUPPORT WHEN THE SYSTEMS FALL SHORT You will still be close to the work. You will investigate complex customer issues across logs, code, internal tooling, product behavior, and agent outputs. You will provide clear, accurate answers to customers, including when the underlying issue is ambiguous or technically complex. You will handle escalated cases with precision and judgment, communicating clearly with both technical and non-technical users. You should be comfortable translating between customer language, product behavior, engineering detail, and business impact. When AI-generated responses are incomplete, inconsistent, or wrong, you will debug the system behind them. You will improve prompts, knowledge sources, workflows, routing, tooling, and escalation paths so that the same failure mode does not repeat. SHAPING THE SUPPORT STRATEGY You will help define how Dust should run support as we scale. That means thinking beyond the queue and owning the full loop: what customers experience, what support sees, what agents can handle, what engineering needs to fix, and what product should learn. You will translate repeated customer pain into high-quality product signal. You will build strong working relationships with engineers and product teams so escalations are high-context, actionable, and efficient. You will also help raise the bar for how the support function operates: what we measure, how we prioritize, how we review quality, how we onboard junior team members, and how we decide what should be automated versus handled by a human. WHAT WE ARE LOOKING FOR Every candidate and employee’s success at Dust is measured against the same three dimensions: Aptitude, Attitude, and Agency. APTITUDE You have strong technical depth. You are comfortable with APIs, web applications, logs, scripts, and internal tools. You can navigate a codebase, reason through product behavior, and troubleshoot systems without being stopped by a stack trace. You have genuine AI fluency at builder level. You have built agents, automations, workflows, or internal tools using AI systems such as Dust, Cursor, Claude Code, n8n, GPT-4, Claude, Mistral, Gemini, or similar platforms. You are not just good at prompting. You understand how to turn AI into operational leverage. You have experience operating at the strategy layer of support, not only at the ticket layer. You have owned or helped shape support systems, support tooling, escalation workflows, deflection strategy, knowledge management, or AI support operations. You can balance technical accuracy with user experience. You care about whether the customer understood the answer, whether the product pain was addressed, and whether the issue will happen again. You are able to communicate bidirectionally: clearly enough for customers, technically enough for engineers, and strategically enough for leadership. ATTITUDE You combine resilience with empathy. This is a front-line role, and customer frustration is often direct and unfiltered. You do not take it personally, but you do take it seriously. You are proactive rather than reactive. You do not wait for a perfect problem statement from the customer. You investigate, infer, clarify, and anticipate what they may need next. You have strong prioritization judgment. You know what needs an immediate human response, what can be automated, what should be escalated, and what should become product feedback. You are comfortable setting boundaries. You do not say yes to everything, and you can explain tradeoffs clearly in a way that builds trust rather than eroding it. You care about the craft of support. You see support as a product experience, not a back-office function. AGENCY You turn patterns into systems. When you see the same issue twice, you start asking whether it should exist at all. You go deep before escalating. You investigate as far as you reasonably can, so that when you involve engineering or product, they receive a clear problem statement, relevant evidence, and a useful recommendation. You build without waiting for permission. If you see a gap in the support system, you are excited to prototype, test, and ship a better version. You continuously improve your own workflows. You treat your time, your tools, and your operating system as things worth debugging. You extract product opportunities from customer interactions. You do not let support signal disappear into a solved ticket. You close the loop. WHAT STRONG CANDIDATES MAY HAVE DONE BEFORE You may have: - Built or led an AI-powered support function - Designed support agents, internal copilots, escalation workflows, or deflection systems - Owned technical support tooling, support operations, or automation at a fast-growing software company - Worked as a senior support engineer, technical support engineer, developer support engineer, support ops engineer, solutions engineer, or implementation engineer - Built a support product, internal platform, AI startup, or automation-heavy support system - Operated in a high-volume environment where quality, speed, and judgment all mattered We care more about the depth and relevance of your experience than the exact number of years. That said, we expect this role to be a fit for someone who has already spent several years close to technical support, support engineering, AI tooling, or support systems ownership. WHAT THIS ROLE IS NOT This is not a traditional customer support role focused only on ticket resolution. It is not a people-management role where you are far away from the technical work. It is not a pure operations role where you optimize process without building. It is not a role for someone who is curious about AI but has not yet built with it. The person we are looking for should be excited to own the messy middle between customers, AI agents, internal tooling, engineering, and product. COMPENSATION AND BENEFITS - Competitive compensation - Significant equity package in a Sequoia-backed startup - Substantial relocation support, up to 10k€, including help finding an apartment in Paris and support with the visa process - Health insurance for you and your dependents - New MacBook Pro or Linux machine, monitor, keyboard, and equipment - Beautiful office in the heart of Paris - Opportunity to travel to the US multiple times a year - Regular team events and offsites We can go higher for exceptional profiles. LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, London, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves. We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast. If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk. Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist. Learn how we think and work. - Our product constitution, https://blog.dust.tt/a-first-version-of-our-product-constitution/ a story about our mission - Your Next Co-Worker Isn’t Human https://www.youtube.com/watch?v=xIvlRWEXqqw, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them. - Dust: Gabriel Hubert on Enterprise AI https://www.nasdaq.com/videos/dust, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
Research Engineers, Agents
ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. WHAT WE ARE LOOKING FOR At Distyl, Research Engineers build the bridge between frontier AI research and production systems that deliver real business value. This role is for engineers who are excited to investigate how AI systems should be designed, rapidly prototype new ideas, and turn promising concepts into reliable systems that work inside real customer environments. Research Engineers operate at the intersection of applied research, systems engineering, and customer-facing deployment. They design and implement compound AI systems, run experiments to understand system behavior, build evaluation frameworks, and collaborate closely with AI Researchers, AI Engineers, and customer stakeholders. Their work is not limited to demos or isolated prototypes: they help turn new techniques into robust systems that can be measured, operated, and improved in production. KEY RESPONSIBILITIES - Design, prototype, and implement agentic AI systems that perform reliably across complex enterprise workflows - Build compound AI architectures that combine planning, tool use, retrieval, memory, evaluation, orchestration, and execution - Investigate how agents reason, coordinate, recover from errors, and interact with external systems under real-world constraints - Develop evaluation frameworks that measure agent behavior, task completion, reliability, robustness, and failure modes - Create tools and abstractions that make agent behavior easier to observe, debug, test, and improve - Partner with AI Researchers to explore new agent architectures and with AI Engineers to harden successful approaches for production use - Integrate agents into customer APIs, applications, data platforms, and operational workflows - Communicate clearly with internal teams and customer stakeholders about agent capabilities, limitations, tradeoffs, and risks WHO YOU ARE - Experience Building Agentic Systems: You have built AI systems that use models, tools, retrieval, planning, memory, or multi-step execution to complete real tasks - Strong Engineering Fundamentals: You write clean, maintainable Python and are comfortable debugging complex, stateful systems - Systems-Level Reasoning: You think holistically about how prompts, tools, context, evaluators, state, orchestration, and external APIs interact - Research-Oriented Builder: You are curious about why agents succeed or fail, and you can design experiments to test different architectures and behaviors - AI-Native Working Style: You use AI tools daily to write code, debug systems, explore designs, analyze traces, and accelerate experimentation - Bias Towards Showing vs. Telling: You prefer working demonstrations, traces, evaluations, and production behavior over abstract descriptions - Comfort in Customer Environments: You can translate ambiguous business workflows into concrete agent designs and explain system behavior clearly to stakeholders - Ownership Mentality: You take responsibility for whether an agentic system performs reliably, safely, and usefully in production WHAT WE OFFER - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package - 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible time off - Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources - Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot - Complimentary in-office lunches and snacks provided - Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems - Ownership of high-impact projects across top enterprises - A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office. #LI-Hybrid We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
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