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Senior Hardware Applications Engineer, Data Center
NVIDIA's deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need hardworking and creative people to help us dive into these exceptional opportunities in GPU application in the enterprise solution space. We are now looking for an expert Senior Hardware Applications Engineer with the ability to focus on customer enablement of datacenter products, work with customers and internal teams to resolve hardware, firmware and software issues, and provide key technical collateral. This is a highly technical engineering role that is responsible for providing best-in-class support to NVIDIA's enterprise customers. We are looking for someone who has superb interpersonal skills and who can understand, explain, and solve customer problems. This position will focus on NVIDIA enterprise datacenter products in workstation and server applications. What you'll be doing: - Perform system design reviews for data center applications to ensure partner designs meet NVIDIA guidelines. - Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out-of-band management services. - Understand system design requirements for High Performance Computing and AI workloads to drive platform configuration guides for x86 and ARM servers. - Conduct the installation, configuration and bring-up of enterprise server hardware. - Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues. - Be involved in customer interaction, customer communication via conference calls or face to face meetings - Familiarize yourself with performing hardware debug using oscilloscopes and analyzers to qualify, validate and solve NVIDIA products for customer systems. - Track and file new bugs, and reproduce issues as needed. - Create product specifications, hardware design guides, application notes, and other supporting technical collateral. What we need to see: - BS, MS, or PhD in Electrical Engineering, Computer Engineering or Systems Engineering, related field or equivalent experience. - 3+ years of proven experience in supporting enterprise data center products for x86 or ARM architecture. - Have strong analytical skills and past experience in reviewing enterprise system design and CPU architecture. - Understanding of x86 and ARM system architecture for server design including BMC, security and out-of-band management. - Professional-level interpersonal skills, including your ability to adjust your communication to the technical level of the audience. - An innate capability to accurately and succinctly communicate procedures, results, and recommendations to customers. - Experience with using lab tools such as oscilloscopes, multi-meters and logic analyzers and possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Solutions Architect, Generative AI Deployme...
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! What You Will Be Doing: - Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions - Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas - Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform - Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions - Analyzing performance and power efficiency of AI inference workloads on Kubernetes - Some travel to conferences and customers may be required (20%) What We Need To See: - BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) - 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow - Strong fundamentals in programming, optimizations, and software design, especially in Python - Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments - Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments - Excellent knowledge of the theory and practice of LLM and DL inference - Excellent presentation, communication and collaboration skills Ways To Stand Out From The Crowd: - Prior experience with DL training at scale, deploying or optimizing DL inference in production - Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM , Dynamo , TensorRT , TensorRT-LLM - Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design - Familiarity with parallel programming and distributed computing platforms NALASAHiring Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, Spatial Intelligence and...
NVIDIA is seeking a Software Engineer to join our Isaac Spatial Intelligence team within the Isaac Engineering org! You will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots — building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI! What you'll be doing: Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills. Develop robust perception, mapping, and reasoning systems that run on robots, in simulation, and at scale in data pipelines for training foundation models. Advance the state of the art in geometric computer vision, combining classical multi-view geometry and optimization with modern deep learning approaches. Train and evaluate vision-language models on skills relevant to robotics. Work closely with the Cosmos and GR00T teams on perception and spatial understanding for foundation models and collaborate with other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release capabilities & features on physical robots as well as in at-scale simulations. Contribute to the effective integration, validation, and release of applied research efforts in collaboration with research teams and on top of NVIDIA's advanced robotics platforms. Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications. Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products. What we need to see: PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience). 8+ years of experience working on computer vision, robotics, or deep learning technologies. Strong foundation in 3D geometric computer vision: multi-view geometry, visual odometry/SLAM, structure-from-motion, or dense correspondence (optical flow, scene flow, stereo). Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow). Experience training and evaluating deep learning models for perception tasks; familiarity with vision-language models is a strong plus. Strong skills in agentic tool use — proficiency working with AI coding agents and agentic workflows (e.g., Claude Code, Cursor, Codex) to accelerate development, testing, and experimentation. Excellent communication, organizational, and interpersonal skills. Ways to stand out from the crowd: Contributions to widely used SLAM, SfM, or 3D reconstruction systems (open source or shipped products). Experience with large-scale model training on GPU clusters, including VLMs or other foundation models. Publications at top computer vision or robotics venues (CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL). Hands-on experience with simulation-based training and evaluation, sim-to-real and real-to-sim transfer. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Network Security Engineer - DGX Cloud
NVIDIA is seeking a Sr Network Security Engineer to implement and maintain robust security across on-premise and cloud environments - enabling business verticals that span Graphics Drivers to AI and Deep Learning. In this role, you will lead the deployment and management of critical security infrastructure, including next-generation firewalls, load balancers, and advanced threat detection systems, safeguarding our hybrid cloud and on-premise networks while driving compliance across the organization. The ideal candidate brings deep expertise in multi-cloud architectures and cybersecurity, a proven track record of supporting large-scale, high-availability networks, and hands-on experience operating with hyperscaling environments. You’re a decisive problem-solver who thrives in fast-paced settings and moves with urgency to meet the demands of modern infrastructure. What You Will Be Doing: - Design & Integrate: Collaborate with the network architecture team to review and comment on network designs. - Manage & Optimize Infrastructure: Lead the deployment, management, and troubleshooting of firewall, load balancing, and IDS/IPS solutions across both on-premise and cloud environments. - Enhance Visibility & Intelligence: Evolve our security feature set by using telemetry and advanced analytics to improve network observability and proactive threat detection. - Governance & Compliance: Define and maintain comprehensive security guidelines for on-premise and cloud deployments, ensuring consistent alignment with compliance and defense-in-depth standards. - Threat Mitigation: Orchestrate rigorous vulnerability management, including patching and bug scrubs, to proactively eliminate potential threat vectors. - IAM Strategy: Design Identity and Access Management (IAM) policies and controls specifically for services owned and operated by the global networking team. - Operational Excellence: Serve as a key stakeholder in security reviews and ACL approvals, ensuring safe, efficient, and resilient network operations. - Incident Response & Triage: Lead incident response efforts by investigating security alerts, conducting root cause analysis, and executing remediation plans in alignment with security incident handling frameworks. - Operational Enablement: Partner with the global operations team to ensure they have the necessary operational tools, documentation, and actionable information required to provide rapid first-response to network and security incidents. What We Need To See: - Network & Cloud Security Architecture: Proven expertise in secure cloud-native and hybrid network architectures across major CSPs (AWS, GCP, Azure, OCI), ensuring seamless connectivity and stringent security posture. - Secure Network Infrastructure: Proficiency in securely deploying and managing Fortigate (FortiManager), Arista, Cisco, and Cumulus OS devices. - Advanced Threat Protection: Comprehensive operational knowledge of IDS/IPS, SSL inspection, URL filtering, and anti-malware/bot mitigations to maintain high-throughput secured traffic. - Virtualization & Connectivity: Strong understanding of network virtualization (VRFs, VxLAN) and CSP-specific virtualized firewall deployments. - Dynamic Routing Protocols: Proficient in dynamic routing protocols such as BGP, OSPF, IS-IS to ensure resilient and efficient network connectivity. - Monitoring & Observability: Experience managing logging pipelines and telemetry tools such as Splunk and Grafana for proactive security oversight. - Professional Experience: 8+ years of dedicated network security experience with a Bachelor’s degree or equivalent experience, coupled with the ability to collaborate cross-functionally with global security teams. Ways To Stand Out From The Crowd: - Multi-Cloud Security Expertise: Deep proficiency in OCI, GCP, AWS, and Azure cybersecurity frameworks. - Infrastructure Proficiency: Working knowledge of Mellanox/Cumulus OS and network routing paradigms. - Automation & AI-Assisted Development: Proven ability to leverage Python, Shell scripting, and AI coding tools (e.g., Cursor, Claude Code) to build efficient automation, frameworks, and operational dashboards. - Large-Scale Experience: Demonstrated success in designing and securing hyper-scale network environments. - Innovation Outlook: Passion for driving progress through the adoption of groundbreaking technologies. NVIDIA is leading the way in ground breaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Robotics Software Engineer - Robot Simulation and...
In the NVIDIA Isaac team, we build tools that bring the power of the GPU to bear on one of today’s grand challenges: physical AI. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where we all work together to advance the frontiers of accelerated computing. We’re looking for a software engineer to join our team to develop simulation tools built for scientists and companies that are using machine learning to solve the future of robotics. You'll join a team of robotics engineers who work at the intersection of simulation and machine learning. Our goal is to build the industry's leading tool for evaluating robot foundation models in simulation. This mission builds on NVIDIA's history of creating virtual worlds using its groundbreaking technology on photorealistic rendering and physics simulation technologies. What you'll be doing: - Building simulation frameworks for training and evaluating robot foundation models on top of NVIDIA's Omniverse platform. - Working as part of a high-paced software engineering team: design/code reviews, testing, continuous integration, deployment. - Training and evaluating robot foundation models. - Integrating modern LLM and agentic workflows into simulation and robotics workflows. - Working with researchers to translate ideas from research into products that can scale to NVIDIA's user base. - Keeping up to date with the state-of-the-art in robotics research. What we need to see: - MSc, PhD degree or equivalent in Computer Science, Robotics, or a related field. - 3+ years of experience in robotics and/or simulation. - Experience in software design and working on a significant software project. - Proficiency using Python and development experience with deep learning software stacks (Pytorch, Jax, etc.). Ways to stand out from the crowd: - Publications and/or projects that demonstrate excellence in moving the needle in the field of robotics. - Robot learning expertise with reinforcement learning and/or imitation learning, - Physics simulation expertise. - Experience with tools used in the NVIDIA robotics ecosystem (CUDA, warp, Isaac Lab, ROS). - Developing and maintaining open-source projects.
Senior NPI Technical Program Manager - Operations
We are seeking a Senior NPI Program Manager (Operations). NVIDIA is growing in several areas, and we need our team to be instrumental in facilitating further growth and expansion. We need someone passionate about working on products that enable deep learning, artificial intelligence, advanced driver assistance systems (ADAS), high-performance computing, enterprise graphics and gaming to join the Silicon Operations Group. In this role, as an individual contributor, you will be responsible for the Operations NPI schedule and related milestones of taking a product from tape-out to production release. We require someone who has a strong engineering background with a keen interest in program management and can work in a dynamic environment. You are someone who thrives working on groundbreaking technology and enjoy working with people to take on problems. A Program Manager supporting Operations NPI needs to be able to see both the high-level view and be proficient in tracking and following up on detail. We desire someone who is independent and can excel in their role as the person-in-charge for their product representing all aspects of silicon bring-up in Operations. We want you to help us improve processes and efficiency to foster growth for the team and the company. What you'll be doing: - Track and communicate key results, constraints, risks, dependencies and clearly identify critical paths while working with ASIC, product, test, system, software engineering and planning teams and other program managers towards a common goal. - Handle cross-functional communications independently while working within a matrixed GM team and publish progress/roadblocks to upper management. - Bring diverse teams together to tackle complex problems and work towards closure. - Understand and collaborate in developing the Plan of Record (POR), ensuring qualification plans, checklists and specifications are in place to support production release. - Develop engineering wafer and hardware risk plans and own internal and external sample supply. - Lead and attend cross-functional NPI meetings related to your product and highlight key Ops issues and ensure that the product is ready for production. - Drive process improvement initiatives for NPI across Operations and cross functional teams. We will look to you to bring new and creative ways to improve overall efficiency and speed at which products are brought to market. - Own metrics for NPI supply commits, production ramp and release turning points and manage bring-up budgets/OPEX for NPI. - Develop processes and metrics for functional teams in Ops planning, engineering, logistics and quality teams. What we need to see: - 7+ years of proven experience in an engineering or technical/engineering program management role. - Bachelor's in EE (or equivalent experience), Master's preferred. - PMP or other Project/Program Management Certification is a plus. - Excellent leadership, problem-solving, decision-making and cross-functional influencing skills. - Proficiency in Program Management and planning tools. Ability to analyze and solution supply chain processes. - Excellent knowledge of semiconductor manufacturing flow and processes. - Strong verbal and written communications skills. - Have the ability to work independently and navigate ambiguous situations. With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Software Engineer, Compute Sanitizer - GPU
Join the NVIDIA Developer Tools team and empower engineers throughout the world developing groundbreaking products in Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers and 3rd party tool developers use your products to debug, profile and analyze the correctness of their systems/applications using the products and low-level API that you contributed to as a member of the Developer Tools team. Innovate as you develop the debug and performance analysis capability of future generations of NVIDIA GPUs. Be a part of the team that brings new GPU technologies to market with sophisticated simulation/emulation systems and be among the first to breathe life into new silicon. NVIDIA is looking for a senior software engineer to join our efforts to advance the state of our Compute Sanitizer product to the next level. The position will be part of a dynamic, world-wide team that develops and maintains several desktop and mobile Developer Tools products that are hosted and targeting OSes including Windows, Linux, Android and other embedded system real time OSes (RTOS). What you’ll be doing: You will apply knowledge of compute programming models and compute architecture to build tools that provide actionable feedback to compute developers. You should be comfortable working in existing driver code and application code as well as writing new shared libraries and targeted performance tests, and have an eagerness to learn about new compute and graphics drivers, GPU architectures and operating systems. - Develop the Compute Sanitizer (which is a suite of memory checker) tools for GPUs running on Linux, Windows, and embedded operating systems. - Work with tools, compiler, architecture and driver teams to design, implement and verify new features in the Compute Sanitizer stack. - Work closely with internal and external partners including other peer organizations within NVIDIA. - Effectively estimate and prioritize tasks in order to create a realistic delivery schedule. - Write fast, effective, maintainable, reliable and well-documented code. - Provide peer reviews to other engineers, including feedback on performance, scalability and correctness. - Document requirements and designs, and review documents with teams throughout NVIDIA. - Mentor junior engineers. What we need to see: - BS or MS in Computer Science or equivalent experience - 8+ years of experience - Strong programming ability in C, C++, Assembly Language and scripting languages - Excellent system programming expertise: memory management, processes/threads management, debugging and profiling - Excellent knowledge of computer architecture of x86 or ARM CPUs - Strong problem solving and debugging skills - Familiar with low-level programming using assembly languages - Source control understanding (git, Perforce, etc.) - Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction - Excellent communication skills, written and verbal Ways to stand out from the crowd: - CUDA/OpenCL knowledge - Experience with code patching - ELF/DWARF knowledge Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
IT Infrastructure Compliance Engineer
NVIDIA is the pioneer of GPU-accelerated computing. We target the world’s most demanding users - gamers, designers, and scientists. We’ve reinvented modern computer graphics, PC gaming, and accelerated computing. Our work in AI, deep learning, and self-driving cars is transforming entire industries and reshaping the world! The NVIDIA IT Infrastructure Compliance team plays a critical role in ensuring our technology infrastructure, digital systems, and external partner integrations are secure, compliant, efficient, and resilient. As we continue to scale our global manufacturing footprint, securing our supply chain ecosystem is paramount. We are seeking a highly motivated, technically sharp Senior IT Infrastructure Compliance Engineer to lead and execute comprehensive risk assessments across our Global Manufacturing Operations and External Partner ecosystem (encompassing Tier-1 Foundries, ODMs, OSATs, and critical logistics providers). In this role, you will evaluate the IT general controls, cybersecurity posture, data integrity, and operational resilience of the interconnected systems linking NVIDIA to our manufacturing partners. Acting as a trusted technical advisor, you will identify systemic risks in supply chain automation, intellectual property (IP) protection, B2B data exchanges, and shop-floor control systems, ensuring our global partner network operates securely, compliantly, and at peak efficiency. What You Will Be Doing: - Audit Execution & Leadership: Plan, lead, and execute complex IT and security audits focusing on manufacturing systems (MES), Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP - SAP), and supply chain B2B integrations. - Third-Party & Partner Risk Assessment: Evaluate the IT risk and security posture of external manufacturing partners (Foundries, OSATs, and Subcontractors). Assess their compliance with NVIDIA’s security standards, data protection protocols, and intellectual property safeguards. - Serve as the primary on-site IT contact for factory users and stakeholders within the North and South America regions, ensuring effective communication and coordination with remote and global IT teams across multiple domains (including networking, storage, and applications). Additionally, manage urgent Tier-3 escalations with third-party IT vendors regarding network connectivity, servers, client systems, and production tools. - Cybersecurity & Infrastructure Review: Audit network segmentations, access controls, APIs, and data transmission protocols that facilitate automated data exchange between NVIDIA and external manufacturing facilities. - Compliance & Frameworks: Evaluate IT environments against industry frameworks (ISO 27001 / SOX) to ensure data privacy, financial integrity, and regulatory compliance. - Data Integrity & Analytics: Assess the accuracy and completeness of yield data, inventory reporting, and supply chain metrics flowing from partner systems into NVIDIA’s data warehouses. Use data analytics tools to identify anomalies or control gaps. - Reporting & Remediation: Draft clear, impactful, and actionable audit reports for executive leadership. Track remediation efforts to ensure identified risks are effectively mitigated by business owners. What We Need To See: - Bachelor’s degree in Management Information Systems, Computer Science, Cybersecurity, Supply Chain Management, or a related technical field (or equivalent experience). - 8+ years of experience in IT Audit, IT Security, or Tech Risk Management, preferably within high-tech/semiconductor manufacturing companies. - Domain Expertise: Deep understanding of automated manufacturing environments, supply chain logistics, and B2B integration technologies (e.g., EDI, APIs, SFTP). - Infrastructure & Network Audit Expertise: Solid hands-on exposure or practical familiarity with Windows/Unix server administration, virtualization, and enterprise storage systems. Ability to evaluate core networking layouts — specifically TCP/IP routing, firewall policy configurations, and common protocols (DNS, DHCP, HTTPS, SSH) — to independently verify system security and compliance controls. - Technical Proficiencies: Familiarity with Shop Floor Control and Manufacturing Execution Systems (MES). Strong knowledge of cloud security (AWS/Azure), identity and access management (IAM). - Certifications: Professional certification such as CISA (Certified Information Systems Auditor) or CISSP (Certified Information Systems Security Professional) is highly preferred. - Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical risks to non-technical business leaders and external vendors. - Travel: Ability to travel domestically and internationally (up to 15-20%) to conduct on-site partner assessments when required. Ways To Stand Out From The Crowd: - Hands-on experience with data analytics and visualization tools (e.g., SQL, Python, Tableau, or Power BI) to automate audit testing. - A proven track record of auditing intellectual property (IP) protection controls in a collaborative engineering or manufacturing environment. - Ability to drive and engage third-party IT teams to complete tasks remotely in accordance with NVIDIA IT standards. Energetic, proactive, and possessing a strong “can-do” attitude; comfortable communicating with both IT and non-IT personnel NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Relational Foundation Model Engineer, Modern Data...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us! NVIDIA is redefining what’s possible with AI, and our Relational Foundation Model team is at the forefront of that mission. We’re building a single, unified foundation model that understands the structure and relationships within any relational database or heterogeneous graph — a fundamentally new approach to enterprise AI. As an engineer on this team, you won’t just be fine-tuning existing models; you’ll be designing and experimenting with novel Transformer and GNN architectures that generalize across diverse relational schemas. Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — all powered by one extensible model. You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-scale training to post-training optimization and inference acceleration. This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack. If you’re excited about graph learning, relational reasoning, and building AI systems that go far beyond single-table benchmarks, this is the team for you. What you’ll be doing: - Collaborate with researchers/engineers to enhance our Transformer and GNN-based models to operate seamlessly over any relational schema and heterogeneous graph. - Gain hands-on experience with high-impact use cases such as forecasting, entity matching, customer retention and fraud detection – all built on top of a single, extensible foundation model. - Leverage your knowledge in ML and AI to tackle real challenges while contributing to scalable and adaptable solutions that push the boundaries of what’s possible. - Work may span the full lifecycle of modern ML systems: from architecture design/training to post-training optimization and inference acceleration. - You will contribute to our next generation of the Relational Foundation Model. What we need to see: - MS or PhD in Machine Learning, Computer Science, or equivalent program - Proficiency in Python and deep learning frameworks, such as PyTorch - At least 8 years of research experience in designing ML algorithm solutions - Practical experience in using Predictive Models in Real World Applications Ways to stand out from the crowd: - Familiarity with graph-based machine learning; publications at venues such as NeurIPS, ICLR, ICML, or similar NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Senior Solutions Architect, AI Infrastructure
NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: - Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. - Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features. - Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams - Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions - Build custom product demonstrations and POCs for solutions that address critical business needs of our customers - Analyze and debug compute/network configuration, performance issues to deliver performant clusters What we need to see: - BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. - This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 6+ years of Systems/Solution Engineering (or similar Engineering roles) experience - System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers - Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) - Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes - Effective time management and capable of balancing multiple tasks - Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc Ways to stand out from the crowd: - External customer facing background - Experience with bringup and deployment of large clusters - Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers - Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions - Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NALASAHiring Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Solutions Architect, GenAI
NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with deep expertise in Diffusion Models. You will work as the primary technical specialist for selected NVIDIA customers. Your task is to help our customers and make their solutions more efficient, usable or economic by driving adoption of state of the art compute and software platforms. A key part of this role involves close collaboration with a wide range of team members including developers, data scientists, IT managers, and senior executives. The ideal candidate is an experienced AI specialist with a deep understanding of generative AI diffusion models, data selection and their training. What you will be doing: - Serve as the primary technical expert between NVIDIA and our ecosystem. - Partner externally with developers, researchers, technology specialists, IT professionals and executives to facilitate the integration of NVIDIA technology - Partner internally with engineering, product and research What we need to see: - Deep expertise and hands-on in AI/Deep Learning specifically with diffusion networks and the intersection of image/video/text processing - MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields. - Excellent verbal, written communication, and technical presentation skills in English. - 6+ years' work or research experience with Python/ C++ / other software development Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Solutions Architect, AI Performance Enginee...
We are looking for a Solutions Architect with a performance engineering background who can help our most sophisticated Autonomous Vehicles and Robotics customers accelerate Physical AI workloads using NVIDIA's full-stack technologies! As part of the Automotive Solutions Architecture team, we work with some of the most innovative accelerated computing platforms focused on the development and test of Autonomous Vehicles. We dive deep into customer projects to solve performance bottlenecks. We use insights from workloads to guide next-generation NVIDIA hardware and software. If you are driven by innovation and ambition, this is the team for you! What you'll be doing: - Engaging directly with key AV application engineers to understand the current and future problems they are solving. You will develop and improve fundamental parallel algorithms and data structures. You will provide efficient solutions using GPUs through library development and direct application contributions. - Collaborating closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the build of next-generation architectures, software platforms, and programming models. - Engaging in deep optimization of high-performance operators, involving but not limited to GPU kernel optimization, instruction-level tuning, and compiler optimization. These optimizations will directly support customers to use NVIDIA libraries such as cuDNN, cuBLAS, and CUTLASS and Open- source libs like DeepGEMM, FlashMLA, FlashAttention, Flashinfer, etc. - Improving communication for Physical AI-related distributed transformer workloads by employing communication tools developed by NVIDIA. These include NCCL, NCCL GIN, and NVSHMEM, as well as open-source solutions like DeepEP and NCCL EP. This demands in-depth study of interconnect topologies (NVLINK) and network protocols (InfiniBand/RoCE) to develop efficient data transfer strategies alongside techniques enabling compute-communication overlap. What we need to see: - BSc/MSc/PhD or equivalent experience in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field. - 8+ years of hands-on validated ML/DL performance engineering experience with focus on improving GPU compute efficiency of training and inferencing workloads. - Experience with C, C++, or Python and proficiency with Linux. - Solid understanding of software development, programming techniques, and algorithms. - Strong mathematical fundamentals, including linear algebra and numerical methods. - Background in parallel programming and high-performance computing, with extensive knowledge of parallel architectures and methods for performance analysis and tuning. Experience in GPU programming is desirable. - Experience in distributed communication optimization is highly helpful. This involves familiarity with remote direct memory access, GPU interconnects, collective communication algorithms, and associated open-source libraries used in large-scale model training and inference. - Effective verbal/written communication, and technical presentation skills. Ability to communicate your ideas/code clearly through blog posts, GitHub, ppt. Ways to stand out from the crowd: - Prior experience in writing CUDA kernels, and experience with Nsight System and Nsight Compute. - Experience in comprehensive evaluation and improvement of full-stack systems within at least one of these areas: LLM and HPC. Having expertise ranging from operator-level through framework-level to algorithm-level optimization is strongly preferred. - Proven software engineering fundamentals and system architecture thinking, with the ability to build modules and lead engineering approaches in complex systems. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NALASAHiring Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Backend Platform Engineer
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” Are you willing to challenge yourself and build phenomenal software alongside some of the smartest people in the world? Join us at the forefront of technological advancement. We’re hiring a Senior Backend/Platform Engineer to build and maintain the core infrastructure behind NVIDIA Brev. You’ll develop reliable cloud services, control planes, and execution environments that enable developers to access accelerated computing infrastructure across clouds. This is a high-impact role for an engineer who enjoys solving complex infrastructure problems, operating production systems, and building platforms that other engineers depend on! What You’ll Be Doing: - Design, build, and operate production backend services and infrastructure in Go - Develop platform capabilities for provisioning, managing, and executing workloads across cloud environments - Build reliable control planes, APIs, schedulers, and infrastructure automation - Work deeply with Linux, Kubernetes, containers, networking, and public cloud infrastructure - Own systems throughout their lifecycle, including architecture, implementation, deployment, observability, incident response, and continuous improvement - Solve distributed-systems challenges involving state, concurrency, multi-tenancy, workload isolation, failure recovery, and scalability - Build infrastructure and platform primitives used by other engineers and developer-facing products , and e stablish best practices for system design, code quality, testing, reliability, and production operations - Collaborate across engineering and product teams to translate complex infrastructure requirements into simple, dependable developer experiences What We Need to See: - B.S. degree or equivalent experience - 8+ years of relevant software engineering experience, with flexibility for exceptional candidates - Strong professional experience developing production systems in Go , Linux systems knowledge and the ability to debug across system layers - Strong networking fundamentals, including TCP/IP, DNS, routing, proxies, VPNs, and load balancing - Hands-on experience with Kubernetes and containerized workloads, and building infrastructure on AWS, GCP, or Azure - Backend or platform engineering experience with production systems and s trong distributed-systems fundamentals, including consistency, fault tolerance, concurrency, and failure handling - Experience building infrastructure, developer platforms, cloud services, or shared systems that other engineers depend on - A track record of owning reliability and operational outcomes in addition to feature delivery Ways to Stand Out from the Crowd: - Experience with Temporal or another durable workflow orchestration system - Experience designing multi-tenant platforms, control planes, or schedulers - Knowledge of VM lifecycle management, remote execution environments, or sandbox and isolation technologies - Experience with observability, reliability engineering, capacity planning, or infrastructure automation and building AI agent platforms or developer execution environments - Experience building and operating GPU infrastructure, including GPU provisioning, scheduling, orchestration, or workload management NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior Manager, Engineering - Data Center Firmware
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. We are looking for an excellent Senior Engineering Manager to lead a large firmware engineering organization delivering end-to-end manageability firmware for NVIDIA's next generation Data Center Compute Systems. This role owns HGX product line and OpenBMC-based management firmware and MCU firmware components in data center platforms, including architecture, execution, quality, reliability, telemetry, and customer readiness. We are seeking an experienced senior leader with strong technical depth, broad system perspective, and a proven ability to lead large teams through complex product cycles. This role is onsite in Santa Clara, CA, USA. If you're creative and autonomous, we want to hear from you! What you'll be doing: - Lead a large firmware engineering organization delivering OpenBMC based firmware and MCU firmware for next-generation Data Center Compute Systems. - Own HGX platform as a lead for Firmware and System software readiness working across the organization. - Define and drive the long-term firmware roadmap, balancing architectural innovation with product execution and delivery milestones. - Drive architecture strategy across BMC, MCU, platform software, manageability, health management, and data center firmware interfaces. - Lead execution across multiple programs, coordinating priorities, hiring, managing cross component dependencies, and delivery commitments across a large engineering team. - Collaborate with data center architects, cloud customers, senior stakeholders, and cross-functional teams to define requirements, scope implementation, and deliver at Speed of Light. - Partner with hardware, systems, security, validation, manufacturing, field, and customer engineering teams to ensure scalable manageability architecture across data center products. - Manage customer and executive escalations for complex firmware, platform, and deployment issues. - Build, mentor, and grow a high-performing engineering organization with strong technical leadership, execution discipline, and quality culture. What we need to see: - BS, MS, or PhD in EE/CS or related field of education or equivalent experience. - 12+ overall years of proven experience in server firmware, BMC/OpenBMC, MCU firmware, platform software, or data center systems. - 6+ years of experience managing software/firmware engineering teams. - Strong technical leadership in data center system architecture, server manageability, telemetry, health management, and reliability at scale. - Proven record delivering production firmware for large data centers with strong quality, debug, and operational discipline. - Experience leading architecture and execution across multiple programs, cross-functional teams, and customer-facing deliverables. - Strong understanding of firmware development lifecycle, validation, release management, issue triage, and production support. - Excellent communication skills, strong work ethic, sound judgment, and the ability to align teams through complex technical and business tradeoffs. Ways to stand out from the crowd: - Experience leading large distributed engineering organizations, including multi-team execution and senior technical leaders. - High level of ownership to deliver products working across matric organization, having done that for a couple of products. Having mindset bucks stop at me. - Hands-on experience with BMC firmware/software stack, MCU firmware, C/C++, Python, and debugging server platform. Expertise with OOB management DMTF protocols and standards such as MCTP, PLDM, SPDM, and Redfish. - Experience with Embedded Linux, FreeRTOS, Yocto/BitBake, Git, Perforce, Jira, and modern firmware CI/CD practices. - Proven ability to drive complex architecture, quality, reliability, and customer escalation work across 25+ engineers or similarly large engineering teams. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our Data center server systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
System Software Engineer, Calibration - Autonomous...
We are looking for a (Senior) Software Engineer for Autonomous Vehicles supporting Calibration. We are seeking software engineers with interests in computer vision, calibration, egomotion, sensor fusion, handling large and complex software systems on automotive and embedded platforms to work as part of NVIDIA’s autonomous vehicles team. You will be supporting the calibration team with development and validation of the calibration / egomotion algorithms on vehicles, maintaining and productizing existing calibration approaches, supporting infrastructure in first level triaging and monitoring calibration performance across the fleet. You will be working with NVIDIA's OEM partners to help bring up existing and new calibration-related features on prototype and pilot production vehicles. What you will be doing: - Develop new approaches and implement improvements to existing algorithms for sensor calibration for ADAS using both classical and deep learning methods. - Work with large amounts of real and synthetic data to evaluate and improve the algorithmic and computational performance of sensor calibration. - Develop and optimize software architecture and frameworks for real-world performance towards internal and external customer requirements. - Work with a variety of sensor modalities: camera, LIDAR, radar, IMU, GPS, odometry, etc. - Develop unit tests, documentation for features, evaluate quality and propose improvements and corrective actions. - Develop highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). - Develop production code to strict quality and safety standards such as MISRA and AUTOSAR. - Develop and maintain fleet monitoring tools supporting calibration of a large vehicle fleet. - Perform in-vehicle tests and troubleshooting, mining/analyzing data and completing drive missions. - Adopt and improve calibration algorithms on existing and new vehicle variants. What we need to see: - PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. - Excellent C++ and Python programming skills. - General knowledge of fundamental algorithms in Robotics, Controls / Estimation and 3D Computer Vision. - Strong knowledge of programming and debugging techniques, especially for automotive / robotics systems. - Great communication and analytical skills including contributing critical and constructive design and code review. - Comfort with local/remote Linux machines, git, build systems. - Self-motivation and a great teammate. Ways to stand out from the crowd: - Experience with data-parallel and/or CUDA programming. - Experience with performance analysis, optimizations and benchmarking. - Background with automotive systems, notably ADAS applications. - Deep experience with bazel, docker, VSCode plugins, code analysis/QoL tools. - Proven track record of working on calibration related projects, i.e. developing new calibration algorithms Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior System Software Engineer - GPU Performance
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: - Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. - Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack - Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available - Triage and root-cause performance issues reported by our customers - Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information - Collaborate with a very dynamic team across multiple time zones What we need to see: - M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience - 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) - Experience conducting performance benchmarking and triage on large scale HPC clusters - Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals) - Implement micro-benchmarks in C/C++, read and modify the code base when required - Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python - Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker) - Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones Ways to stand out from the crowd: - Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control - Experience debugging network issues in large scale deployments - Familiarity with CUDA programming and/or GPUs - Experience with Deep Learning Frameworks such PyTorch, TensorFlow Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal Firmware Engineer - Data Center Server M...
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. NVIDIA GH200 superchip provides performance and productivity required for strong scaling for HPC and generative AI workload. Scale out is inherent to design of this massive superchip. We are looking for expert engineers to come and help design rack level solutions for next generation scaling AI supercomputing platforms. We are looking for a strong technical architect to own end to end manageability architecture for these products in data centers. You will work with various component leads internally and externally, drive customer use cases, align architecture with customer requirements and release best products to market. Join us at the forefront of technological advancement. What you’ll be doing: - Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia. - Work with data center architects and cloud customers to narrow down on requirements for implementation to ensure speed of light product development. - Work with internal teams to make sure requirements are designed and implemented in right way with each firmware and software module - Collaborate with other leads to design & build data center health management workflow. - Drive reliability and optimization in firmware architecture from a data center view point. - Work closely with cluster bring up team and resolve issues at Speed of Light - Own firmware delivered to data centers in terms of quality, reliability and telemetry performance. What we need to see: - 15+ years of relevant experience working on server firmware (BMC) and platform software development - BS, MS, or PhD in EE/CS or related field of education or equivalent experience - Hands on experience with data center health management workflow. Proven record of delivering server firmware for large data centers.. - Strong knowledge of data center management, server architecture and server manageability in data centers and strong and demonstrable skill in C/C++ and Python - Experience programming and debugging skills for server platforms. - Experience in SCM (e.g. Git, Perforce) and project management tools like Jira. - You should possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work and commitment to finish your tasks every single day. - You are a self-starter who loves to find creative solutions to complicated problems and hands on with coding. Ways to stand out from the crowd: - Hands on experience with data center health management - Hands on with x86 or ARM system architecture. - Proven technical leaders to drive large complex problem with 50+ engineers working NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 6, and 320,000 USD - 488,750 USD for Level 7. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Lead System Software Engineer Platform - Server Em...
NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and form teams with the smartest people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. What you’ll be doing: - Design and implement Microcontroller Firmware for GPU Server platforms, focusing on but not limited to ARM M-class microcontrollers. - Develop C/C++ server manageability features in an RTOS embedded-optimized environment. - Perform hands-on work with microcontroller firmware bring-up, debugging, performance analysis, and coding manageability features for NVIDIA’s Server platforms. - Develop embedded management software to enable reporting and connectivity between server management devices. - Implement register-based communication and DMTF standard messaging protocols for seamless interaction between BMC, GPUs, switches, memory, I/O expanders, sensors, and local microcontroller peripherals. - Design a highly portable microcontroller framework that will be implemented across a wide variety of server management subsystems. Develop and review code, write and review design documents, and collaborate with team members to meet product requirements. - Instrument code for maximum coverage, automate unit tests, maintain detailed test case reports, and provide software quality reports based on static analysis, code coverage, and microcontroller load. - Collaborate with security and hardware teams to ensure code aligns with security goals and influence hardware design and architecture review. Develop performance-optimized active monitoring BMC solutions using DMTF Standards such as MCTP, Redfish, SPDM, and PLDM specifications. What we need to see: - A Bachelor of Science Degree (or higher) in Electrical Engineering or Computer Science or equivalent experience. - 12+ years of experience in low level microcontroller Firmware development on embedded microcontrollers using Zephyr or FreeRTOS - Demonstrated experience in developing BMC and/or microcontroller firmware for managing CPU, GPU, Network and Storage Devices. - Experience with the following embedded interfaces - USB and I3C. Sound experience working with ARM Integrated Development Environments (IDE), debuggers, logic and protocol analyzers, and oscilloscopes. - A deep understanding of interrupt schemes, multi-threading, DMA, memory management, and working in resource restricted embedded environments. - Strong embedded programming and scripting skills using C/C++, Bash, Python, Go, etc. - Experience reviewing and using hardware schematics, reference manuals, and datasheets for embedded development. - Expertise working with server manageability protocols such as MCTP, PLDM, SPDM, SMBUS, and OCP recovery. - Solid understanding of Linux fundamentals, various distributions, packages, upgrade mechanisms, and image building/deployment. Ways to stand out from the crowd: - Hands on background working with microcontroller embedded firmware development and OOB management - Hands-on experience implementing MCTP stack in embedded environments or FPGA. Contributor to industry groups like Open Compute, OpenBMC, DMTF and open source. - Expertise in system software and platform security for x86/ARM based Rack/Blade server systems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Solutions Architect, Data Center MEP
We are currently seeking a Senior MEP / Datacenter Infrastructure Engineer to join our SA team. At NVIDIA, we are leading the AI computing revolution, delivering deep learning and high‑performance computing solutions that power many of the world’s largest and fastest data centers and supercomputers. As a member of our team, you will play a vital role in planning, designing, and deploying AI/HPC data center infrastructure with a strong focus on power, cooling, and telemetry/control systems. If you have a strong passion for mission‑critical facilities, data center MEP design, and a successful history of engaging with customers and partners on complex infrastructure deployments, this is an excellent opportunity to make a substantial contribution. What you’ll be doing: - Lead end‑to‑end planning and deployment of AI/HPC data centers, from concept and reference design through construction, commissioning, and go‑live, ensuring infrastructure aligns with NVIDIA reference architectures and operational requirements. - Collaborate with product and engineering teams to understand NVIDIA’s guidance for data center infrastructure, including power distribution, liquid/air cooling, controls and monitoring, and network/cabling architecture, and translate this rapidly into robust, scalable customer designs. - Review and evaluate customer and partner design packages (architectural, electrical, mechanical, controls), ensuring consistency with NVIDIA reference architectures, industry standards, and regulatory requirements, and provide recommendations to improve performance, scalability, cost‑effectiveness, and sustainability. - Develop and implement comprehensive pre‑deployment audit plans to assess the readiness, reliability, and efficiency of data center infrastructure components prior to AI/HPC cluster deployment, identifying risks and mitigation actions early. - Oversee construction, integration, and bring‑up activities, working closely with contractors, OEMs, service providers, and customers to resolve infrastructure issues and ensure on‑time, high‑quality delivery. - Establish and drive quality assurance and commissioning processes for power systems, liquid/air cooling systems, rack/server power and cooling integration, telemetry, and control systems to validate functionality and performance against design specifications and benchmarks. - Act as the key liaison and domain expert for customers and partners on all data center infrastructure topics, facilitating productive technical discussions and ensuring clear alignment from planning through steady‑state operations. - Develop and sustain a strong ecosystem of design firms, contractors, integrators, and service providers to enable rapid, reliable deployment of NVIDIA solutions globally. - Mentor and guide Infra SA team members and partner engineering teams, sharing best practices in MEP design, data center operations, and deployment methodologies to ensure overall program success. - Drive continuous improvement initiatives across infrastructure design and processes, identifying opportunities to increase reliability, resilience, efficiency, and automation in AI/HPC data centers. What we need to see: - Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field; an advanced degree, equivalent experience, or relevant certifications is preferred. - 8+ years of overall experience in enterprise and/or hyperscale data centers with a focus on MEP design, construction, and deployment for high‑density AI/HPC or mission‑critical environments. - Proven experience in data center engineering, operations, or infrastructure management roles, with responsibility for large‑scale deployments and cross‑functional coordination. - Strong technical knowledge of data center systems, including power distribution (UPS, switchgear, PDUs, rack power), liquid/air cooling (chillers, CDU, CRAH/CRAC, direct‑to‑chip or immersion), rack/server mechanical and power integration, and structured cabling for high‑density deployments. - Demonstrated technical and project leadership in fluid, rapidly changing environments, with the ability to drive complex programs from design through commissioning and hand‑off. - Excellent analytical and problem‑solving skills, with a keen attention to detail and a strong commitment to quality and operational excellence. - Effective communication and interpersonal skills, with the ability to engage expertly with diverse stakeholders including customers, partners, contractors, and internal engineering teams, and to lead productive technical discussions. - Strong organization and time‑management capabilities, able to plan, schedule, and coordinate multiple infrastructure projects and tasks to meet or exceed agreed timelines. - Willingness to travel up to customer sites, partner facilities, and NVIDIA data center locations as required. Relevant certifications - BICSI - CNCDP - FOA Data Center – CFOS/DC (Certified Fiber Optics Specialist, Datacenter) Ways to stand out from the crowd - Experience with data center operations processes, safety practices, and security measures in enterprise or hyperscale environments. - Solid understanding of the full data center infrastructure stack, from building shell and core through power, cooling, racks, cabling, and monitoring/controls for AI/HPC platforms. - Background working closely with server and rack manufacturers, integrators, and colocation providers on high‑density deployments. - Outstanding interpersonal skills, with a track record of building long‑term relationships with customers, partners, and internal stakeholders and serving as a trusted technical advisor.
Deep Learning Performance Architect
NVIDIA is developing GPU and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to analyze deep learning performance on different hardware and software architecture and make a significant impact in a dynamic technology focused company What you’ll be doing : - Analyze performance of various deep learning workloads on different architectures - Identify architecture and software performance bottlenecks - Explore new features and system configurations to achieve better performance and energy efficiency What we need to see: - BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,) - 3+ years of working experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) will be a plus - Be familiar with GPU or accelerator-based deep learning platform and software stack - A strong background in computer architecture - Experience on system architecture design and performance optimization - Familiar with machine learning and deep learning frameworks
Senior Data Engineer
Are you ready to move beyond traditional ETL and build the foundational data systems for data science utilising high-impact machine learning? We're seeking a Data Engineer to design, build, and maintain the near real-time and batch data flows that power our production models. Responsibilities: - Collaborate closely with Data Scientists to design, build, and maintain robust, scalable, and reliable batch and streaming data pipelines, serving high-volume data essential for training and deploying data science and ML models in our cloud environment. - Implement cutting-edge data engineering best practices to guarantee the quality, consistency, and lineage of crucial model training data and feature sets, ensuring high reliability for production data science/ML systems. - Troubleshoot and resolve complex issues with data feeds, ensuring uninterrupted flow and availability. - Establish and maintain strong communication channels between Business Stakeholders, Data Scientists and Engineering teams regarding the strategic development and deployment of machine learning projects and the effective use of company data. - Assume full ownership of the data science data development lifecycle, from raw data ingestion to production model data serving, and possess the ability to work independently when necessary. At ComeOn, we've embraced a Hybrid Work model, giving our employees the flexibility to work some days at home. Our offices are thoughtfully designed to support this model, featuring practical workspaces for focused efforts and collaborative zones for dynamic creative exchanges. We believe in the power of collaboration to drive innovation and success. While our offices are known for their vibrant atmosphere, rest assured that our primary focus is on achieving results together. We prioritize efficiency and maintain a balance between hard work and camaraderie. When you visit our offices, expect a warm welcome and professional support. Choose ComeOn for your next career move, and experience a workplace that values productivity, teamwork, and the spirit of collaboration. At ComeOn Group we value diversity, and we take concrete action to ensure fairness in our recruitment process. We are committed to assess candidates on their merit without discriminating against any applicant for whatever reason that is protected by law. We truly value you, as you are. Want to know more about us just visit our website www.comeon-group.com or any of our social media channels to take a deep dive into our culture! LinkedIn Instagram Facebook Glassdoor Requirements About you: - Experienced data engineer with 5+ years in data integration & real time streaming - Experience in programming with Python and SQL, potentially Java - Understanding data warehousing concepts, schema design (star schema, snowflake schema, denormalization), and optimization techniques - Experience in distributed frameworks like Spark or Flink - Experience with GCP (preferred) or AWS Cloud data processing solutions - Experience with BigQuery, Pub/Sub, Dataflow, Datastream is a plus - Excellent command of spoken English - Keen attention to detail and data quality - Comfortable working in a fast-paced environment whilst interacting with a variety of different disciplines - Proven ability to prioritise and deal with problems systematically and provide clear communications regarding the issues, resolution times and solutions And then some nice to haves: - Hold an academic degree in a quantitative discipline such as computer science or mathematics - Experience within the iGaming industry and involved in machine learning projects (e.g. personalised Sportsbook and Casino recommendations) - Previous working experience as machine learning engineer will be considered an asset - Experience with Airflow Experience in business analysis and requirements gathering Benefits So what can you expect from ComeOn as a place of work? - A competitive remuneration package inc. a company bonus scheme! 💰 - Fantastic quarterly team events and weekly company events 😎 - A one-time bonus to help you set up a comfortable workstation at home (we’re truly Hybrid!) 🌎 - On top of our Hybrid work arrangement, up to 40 days a year to work fully remote from anywhere - €250 Annual Wellbeing Allowance (Claimable after probation). - A comprehensive, International private Health Insurance. - A €250 One-time Hybrid Allowance to help you set-up your home office. - Breakfast at the office on Tuesdays. - Lunch at the office on Mondays and Wednesdays 🤤
CONTRACT - Engineer, Data Scientist (NTD)
Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch ™ system and the Nintendo 3DS ™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System ™ , Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy ™ , Game Boy Advance, Nintendo DS ™ family of systems, Super NES ™ , Nintendo 64 ™ , Nintendo GameCube ™ , Wii ™ and Wii U ™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other. DESCRIPTION OF DUTIES - Train, evaluate, and optimize neural networks - Write scripts to facilitate neural network model development and use - Procure and clean data necessary for training and evaluating models - Effectively communicate with other teams, especially as it relates to domain-specific knowledge, model quality, and model performance - Document work according to defined processes SUMMARY OF REQUIREMENTS: - 3+ years of professional experience as a data scientist - 3+ years of professional experience working with deep learning libraries (PyTorch and/or TensorFlow) - Proficient in Python - Possess strong debugging and troubleshooting skills - Familiar with Git workflow - Experience with C, C++, or C# is a plus - BS in CS/Applied Mathematics/Statistics/DS/ML or related field Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is onsite in Redmond, WA, and not open to remote status at this time. This contract position includes the base pay range listed below and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner. Pay range: $56.44 - $101.59 USD
CONTRACT - Associate Engineer, ML SDET
Nintendo Technology Development The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch ™ system and the Nintendo 3DS ™ family of portable systems. Since 1983, when it launched the Nintendo Entertainment System ™ , Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy ™ , Game Boy Advance, Nintendo DS ™ family of systems, Super NES ™ , Nintendo 64 ™ , Nintendo GameCube ™ , Wii ™ and Wii U ™ systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pokémon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies. Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other. DESCRIPTION OF DUTIES - Convert manual tests in various domain areas to automated tests - Use automation frameworks both API and UI based in automation effort. - Develop, maintain, and improve tests for Nintendo's systems - This is a development role with automated test creation and infrastructure - Debugs code effectively within primary area - Responsible for triage of emerging bug reports, feature requests, and support inquiries - Create Test Plans to determine strategy, test coverage, and required tooling to ensure high product quality - Drives finding root cause and resolution of defects SUMMARY OF REQUIREMENTS - 3+ years of professional experience in software development - Proficiency in C++ and Python (3+ years) - Knowledge of application software design and emerging technologies - Knowledge of software testing methodologies and software quality assurance processes - Experience with git version control system - Building and running software in Windows, Linux and embedded systems - BS in Engineering, Computer Science, or related field Desired skills - Knowledge of real-time operating systems (RTOS) - Developer knowledge of various computer domains: graphics, multimedia, device I/O - Knowledge, understanding, and use of machine learning LLMs Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is onsite in Redmond, WA, and not open to remote status at this time. This contract position includes the base pay range listed below and is eligible for benefits through the employing agency. Agency benefits include eligibility for medical insurance, employee assistance program, and paid sick leave. All benefits are subject to elections, eligibility requirements, plan and program terms. Benefits offerings will be confirmed at the time of offer by the employing agency, and may differ depending on the employing agency partner. Pay range: $50.62 - $81 USD
Staff Engineer, AI System Architect (Hardware)
Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication . By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability. We are seeking a Senior Staff AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design . In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy. Location : Daily onsite presence at our San Jose office in alignment with our Flexible Work policy What You’ll Do - Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems. • Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. • Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power. • Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. • Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. • Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities. • Communicate architectural insights and recommendations through clear technical presentations and documentation. • Occasional domestic and international travel ( What You Bring - Ph.D. in Computer Science, Electrical Engineering, or a related field, with 5+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads. • Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. • Deep understanding of AI system hardware architectures , including compute, memory hierarchies, and high-performance interconnects. • Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs , and large-scale training and inference systems. • Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions . • Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. • Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams. • A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. - You’re inclusive, adapting your style to the situation and diverse global norms of our people. - You approach challenges with curiosity and resilience, seeking data to help build. - Understanding. You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000 - $253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/
Senior Staff Engineer, AI Software
Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You’ll Do - Lead the co-design of software and hardware solutions that optimize AI model inference performance, with a focus on overcoming memory bottlenecks. - Analyze and optimize LLM and agentic AI workloads across the full software stack, identifying opportunities for hardware-aware acceleration. - Profile and characterize model execution to expose memory wall limitations and guide architectural decisions for HBM and memory-centric compute. - Collaborate with hardware teams to influence memory architecture, acceleration strategies, and compute placement based on real workload behavior. - Develop, optimize, and benchmark inference and serving solutions using frameworks such as PyTorch and vLLM. - Define best practices and provide technical mentorship across software–hardware co-design efforts. What You Bring - Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience. - Strong experience writing high-performance AI framework software development for GPUs or other accelerators. - Strong, end-to-end understanding of the AI infrastructure, AI software stack, from model definition through deployment and serving. - Solid understanding of LLM model architectures and workflows, including modern transformer-based designs. - Solid understanding of agentic AI architecture and workflows. - Hands-on expertise with the PyTorch framework. - Practical experience with vLLM for high-throughput model inference and serving. - Solid understanding of the memory wall problem and its impact on AI system performance. - Strong knowledge of memory architecture, including High Bandwidth Memory (HBM), and familiarity with memory-centric acceleration and compute approaches. - Proficiency working in a Linux development environment. - Solid command of development tooling, including agentic coding, GitHub and Jira. LI-VL1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $189,000 - $301,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/
Principal Engineer, AI System Architect (Hardware)
Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. Job Title: Principal Engineer, AI System Architect (Hardware) What You’ll Do The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication . By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability. We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design . In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy. Location : Daily onsite presence at our San Jose office in alignment with our Flexible Work policy Job ID : 42852 - - Technically Lead the architecture team with strong direction, shaping system‑architecture strategy and advancing key innovations - Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems. - Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. - Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power. - Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. - Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. - Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities. - Communicate architectural insights and recommendations through clear technical presentations and documentation. - Occasional domestic and international travel ( What You Bring - Ph.D. in Computer Science, Electrical Engineering, or a related field preferred, with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads - Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. - Deep understanding of AI system hardware architectures , including compute, memory hierarchies, and high-performance interconnects. - Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs , and large-scale training and inference systems. - Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions . - Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. - Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams. - A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. - You’re inclusive, adapting your style to the situation and diverse global norms of our people. - You approach challenges with curiosity and resilience, seeking data to help build understanding. - You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. - Innovative and creative, you proactively explore new ideas and adapt quickly to change. LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $219,000 - $351,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/
Principal Engineer, AI System Architect (Hardware)
Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. Job Title: Principal Engineer, AI System Architect (Hardware) The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication . By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability. We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design . In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy. Location : Daily onsite presence at our San Jose office in alignment with our Flexible Work policy Job ID : 42852 What You’ll Do - Technically Lead the architecture team with strong direction, shaping system‑architecture strategy and advancing key innovations - Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems. - Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. - Analyze representative and emerging system-level architectural research (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power. - Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. - Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. - Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities. - Communicate architectural insights and recommendations through clear technical presentations and documentation. - Occasional domestic and international travel ( What You Bring - Ph.D. in Computer Science, Electrical Engineering, or a related field preferred, with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads - Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. - Deep understanding of AI system hardware architectures , including compute, memory hierarchies, and high-performance interconnects. - Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs , and large-scale training and inference systems. - Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions . - Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. - Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams. - A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. - You’re inclusive, adapting your style to the situation and diverse global norms of our people. - You approach challenges with curiosity and resilience, seeking data to help build understanding. - You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. - Innovative and creative, you proactively explore new ideas and adapt quickly to change. LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $219,000 - $351,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/
Principal Engineer, AI Serving Framework Architect...
Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World’s Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. Job Title: Principal engineer, AI Serving Framework Architect (Software) The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication . By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability. We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design . In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy. Location : Daily onsite presence at our San Jose office in alignment with our Flexible Work policy Job ID : 42853 What You’ll Do - As a Tech Lead, leading research teams in Korea and proposing technical direction - Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory - Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory - Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls - Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM What You Bring - PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads. - Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users. - Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM. - Proficiency in AI Inference System Profiling and optimization. - Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models. - Strong understanding of compute, memory, and networking bottlenecks in AI systems. - Required skillsets: PyTorch, Python, and C++ - A collaborative mindset, curiosity, and resilience in solving complex challenges. - Excellent verbal, presentation, and written communication skills. - (Nice to have) Native or fluent Korean speakers are preferred. - You’re inclusive, adapting your style to the situation and diverse global norms of our people. - You approach challenges with curiosity and resilience, seeking data to help build. Understanding. - You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. - Innovative and creative, you proactively explore new ideas and adapt quickly to change LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $219,000 - $351,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/
Senior AI Software Engineer
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities/ 工作职责 : Job Overview: We are seeking a passionate and creative AI Agent Software Engineer. You will be a key member of our core AI R&D team, responsible for designing, developing, and optimizing AI Agents capable of autonomous perception, planning, decision-making, and execution. You will own the entire lifecycle from proof-of-concept to product launch, making a significant impact on the practical application of AI technology. Key Responsibilities: - Design & Development: Participate in designing and implementing efficient, reliable, and scalable AI Agent system architectures. - Agent Core Capability Building: Develop the core modules of Agents, including but not limited to: task planning and decomposition, tool usage (APIs, functions), memory mechanisms (short-term/long-term), multi-step reasoning, and self-reflection capabilities. - Large Language Model Integration & Application: Gain a deep understanding of and integrate various large language models (e.g., GPT, Claude, DeepSeek), leveraging their capabilities for prompt engineering, chain-of-thought optimization, and building complex Agent workflows. - Tool Ecosystem Development: Develop and manage a suite of tools (e.g., web search, database query, code execution, software API calls) for Agents, expanding their capability boundaries. - Evaluation & Iteration: Establish a scientific evaluation framework for the continuous testing, measurement, and iterative optimization of AI Agent performance, reliability, and safety. - Technology Exploration: Stay abreast of the latest research advancements in the AI Agent field (e.g., ReAct, COT, LangChain, AutoGPT) and apply cutting-edge techniques to real-world products. Qualifications: - Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related field. - Proficiency in Python programming, with solid software engineering skills and good coding practices. - Hands-on experience in application development using Large Language Models (LLMs), familiar with common LLM APIs and usage patterns. - Understanding of fundamental AI Agent frameworks and concepts (e.g., ReAct, Tool Use). - Excellent problem-solving skills, teamwork spirit, and communication abilities. Preferred Qualifications: - Project experience with mainstream AI Agent development frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI). - Familiarity with vector databases and Retrieval-Augmented Generation (RAG) technology. - Some understanding and application experience with multimodal models (vision, speech). - Relevant open-source projects on GitHub or a technical blog demonstrating passion and understanding of AI technology. 职位概述： 我们正在寻找一位充满热情、富有创造力的AI Agent软件工程师。您将成为我们核心AI研发团队的一员，负责设计、开发和优化能够自主感知、规划、决策和执行的AI Agent。您将对从概念验证到产品上线的整个生命周期负责，并对AI技术的实际应用产生深远影响。 主要职责： - 设计与开发：参与设计并实现高效、可靠、可扩展的AI Agent系统架构。 - Agent核心能力构建： 开发Agent的核心模块，包括但不限于：任务规划与分解、工具调用（API、函数）、记忆机制（短期/长期）、多步推理与自我反思能力。 - 大语言模型集成与应用： 深入理解和集成各类大语言模型（如GPT、Claude、DeepSeek等），利用其能力进行提示工程、思维链优化，并构建复杂的Agent工作流。 - 工具生态建设： 为Agent开发和管理一系列工具（如网络搜索、数据库查询、代码执行、软件API调用），扩展其能力边界。 - 评估与迭代： 建立科学的评估体系，对AI Agent的性能、可靠性、安全性进行持续测试和迭代优化。 - 技术探索： 紧跟AI Agent领域的最新研究进展（如ReAct、COT、LangChain、AutoGPT等），并将先进技术应用于实际产品中。 任职要求： - 计算机科学、人工智能或相关领域的学士及以上学位。 - 熟练掌握Python编程语言，具备扎实的软件工程能力和良好的编码习惯。 - 拥有基于大语言模型（LLM）进行应用开发的实际经验，熟悉常见的LLM API和使用模式。 - 了解AI Agent的基本框架和概念（如ReAct， Tool Use等）。 - 具备良好的问题解决能力、团队合作精神和沟通能力。 优先考虑： - 有使用主流AI Agent开发框架（如LangChain、LlamaIndex、AutoGen、CrewAI）的项目经验。 - 熟悉向量数据库及相关检索增强生成（RAG）技术。 - 对多模态模型（视觉、语音）有一定的了解和应用经验。 - 在GitHub上有相关的开源项目或技术博客，能够展示您对AI技术的热情和理解。 Pre-Requisites/ 任职要求 : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
Game AI Developer
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a Senior Software Engineer for the development and implementation of modular game subsystems for game developers, designers and animators in creating immersive, intelligent, and efficient gaming experiences. As a key player, you will work with a team of game developers, work closely with data scientists and drive the adoption of AI in the entire game development workflow. Essential Duties and Responsibilities - Work on the development of AI solutions to streamline game development process - Ensure that such game engines (Unity, Unreal Engine) have seamless integration with in-house models. - Design AI-powered data analytics tools to analyze player behavior and optimize engagement. - Work with internal Applied AI and Foundational AI Team. - Collaborate with game studios, game developers, animators, and gameplay engineers to align AI tools with production needs. - Work with a team of AI engineers, data scientists, and tool developers Qualifications - 5+ years of experience in game development or interactive applications. - Ability to work in fast paced, high pressure, agile environment. - Ability to drive innovation and adoption of AI tools in a game studio, with a passion for AI-driven creativity in game development. - Technically adept with working with AI workflows and agentic workflows - Strong in programming languages such as Python, C++, C#. - Experience integrating AI models on the cloud or locally - Experience in using game engines such as Unity and Unreal Engine - Knowledge of working with AI in Game development. - Strong communication abilities, with a track record of delivering tools or projects with game studios, while working cross functionally across multiple teams. - Proven ability to manage complex projects - Excellent problem-solving and analytical skills, with the ability to translate complex business problems into actionable insights. Education & Experience · Bachelor’s/Master’s in Computer Science, Game Development, AI, or related field from an accredited institution. Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
AI Lead, IT Applications
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a visionary and technically skilled AI Lead who leads the design, development, and governance of enterprise-grade AI solutions, with a strong focus on Microsoft technologies. This role is ideal for a strategic thinker and hands-on technologist who thrives in driving innovation, ensuring compliance, and delivering scalable AI systems that transform business operations. As a core member of the AI team, you will lead the technical strategy, establish best practices for AI governance, and collaborate with cross-functional teams to deliver impactful solutions. Your expertise in Microsoft Azure AI services, Power Platform, and MLOps will be central to success in this role. - Lead the architecture and implementation of AI solutions using Microsoft Azure technologies, ensuring scalability, security, and seamless integration with enterprise platforms - Champion Microsoft AI capabilities, including Azure AI Foundry, Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Power Platform Copilot Studio - Implement and optimize Model Context Protocol (MCP) for secure, context-aware AI interactions across enterprise applications - Collaborate with business stakeholders to identify AI opportunities, translate requirements into technical solutions, and advise on emerging Microsoft AI trends - Oversee end-to-end AI development, including data exploration, model training, validation, deployment, and lifecycle management using MLOps best practices. - Manage production operations for AI systems, including monitoring, incident response, and change management - Promote technical excellence through code reviews, documentation, and continuous improvement of AI models and processes - Mentor and guide team members, fostering a culture of innovation, collaboration, and knowledge sharing - Other duties as assigned Pre-Requisites : - Bachelor’s degree in computer science, information technology, or a related field - Minimum 3 years of hands-on experience in AI architecture and development using Microsoft technologies - In-depth knowledge of MLOps practices, including model deployment, monitoring, and lifecycle management - Demonstrated expertise with Azure AI services, such as Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Azure AI Foundry - Solid programming skills in Python, with familiarity in key ML and data science libraries - Proficiency in Microsoft Power Platform: Power Apps, Power Automate, Power BI, Dataverse, and Copilot Studio is a plus - Experience with Microsoft development tools and technologies: Visual Studio / VS Code, C# / .NET, TypeScript / JavaScript, SQL Server / T-SQL is a plus - Familiarity with AI governance frameworks and bias mitigation techniques (preferred, not mandatory) - Excellent communication skills and proven ability to engage effectively with stakeholders - Self-motivated, results-driven, and comfortable working in a globally distributed team environment - Relevant certifications such as Azure AI Engineer, Azure Data Scientist are a plus Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
Senior Product Marketing Manager, Audio & Headset...
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a seasoned and strategic Senior Product Marketing Manager to lead product marketing for Razer’s next-generation, AI-powered audio and headphone products, including Project Motoko — Razer’s AI-native headset. This role focuses specifically on AI-driven innovation within audio and headphones. Because AI is central to products like Project Motoko, you will translate advanced AI capabilities into clear, compelling consumer value. You will own go-to-market strategy for these initiatives from concept through to commercialization, define positioning and messaging, and partner closely with cross-functional and external teams. This is an individual contributor role. Essential Duties and Responsibilities - Lead product marketing for Razer’s AI-powered audio and headphone initiatives, including Project Motoko, from concept through to commercial launch. - Develop differentiated positioning, messaging, and value propositions for AI-driven audio and headphone products, translating advanced AI capabilities into clear benefits for consumers. - Plan and execute global go-to-market campaigns across all launch phases in collaboration with cross-functional teams. - Analyze market trends, the competitive AI audio and headset landscape, and customer insights to inform product strategy and roadmap priorities. - Manage launch timelines, marketing assets, budgets, and campaign performance across the full product life cycle. - Build and manage relationships with external brand, retail, technology, and AI platform partners to drive co-marketing and ecosystem adoption. - Drive cross-functional alignment and influence without authority across Product, R&D, Marketing, Sales, and Partnerships; set clear goals and OKRs aligned to business objectives. - Work with the Divisional Head to manage budget for the business category. - Other duties as assigned. Pre-Requisites : To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Minimum of 8 years of product management and marketing experience in the consumer electronics industry; experience launching audio or headset products strongly preferred. - Demonstrated experience marketing innovative or design-led consumer products (e.g., headphones, audio, smart devices, or emerging tech). - Proven track record of successful global product launches and integrated marketing campaigns. - Familiarity with AI and AI-enabled consumer products, with the ability to translate complex AI capabilities into clear consumer messaging; experience managing external technology or platform partners and co-marketing initiatives. - Experience across consumer electronics sales channels: retail, direct, online, and distribution. - A strong passion for headset, audio, AI, gaming, and emerging consumer technology trends. - Able to work independently, prioritize, and handle multiple tasks and projects concurrently in a fast-moving environment. - Excellent communication, storytelling, project management, and analytical skills, including the ability to interact effectively with executive management. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
Manager, Intelligent AI Systems
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This role will focus on leading the development of intelligent autonomous systems for game developers and players. The ideal candidate will have strong expertise in reinforcement learning (RL) and agent-based modeling, along with the ability to apply a broad range of AI techniques to build robust gameplay agents and adaptive in-game behaviors. This role involves working closely with AI engineers, game developers, and software engineers to deliver scalable, production-ready intelligent systems that enhance exploration, automation, and fast iteration across diverse gaming environments. Essential Duties and Responsibilities - Lead and mentor a team developing intelligent gameplay agents and autonomous systems for in-house AI services. - Define the technical roadmap for agent-based intelligence, supporting multiple game engines, genres, and gameplay objectives. - Drive research and development across reinforcement learning, imitation learning, planning, and hybrid approaches as needed. - Ensure agent solutions are robust, generalizable, and scalable across diverse game mechanics and player behaviors. - Establish evaluation frameworks and success metrics for autonomy, task success, stability, and real-world performance. - Collaborate with engineering teams to support deployment, integration, and scaling of intelligent agents into production pipelines. - Promote best practices in experiment tracking, reproducibility, and large-scale training workflows. - Communicate technical progress, trade-offs, and long-term strategy effectively to cross-functional stakeholders. - Stay updated with advancements in intelligent systems, including multi-agent learning, agentic AI, and adaptive decision-making. Pre-Requisites : Qualifications - Proven experience leading or mentoring teams building autonomous agents or applied AI systems. - Strong proficiency in Python; experience with C++ or Rust is a plus. - Strong foundation in reinforcement learning methods (policy-based, value-based, actor-critic) and agent training workflows. - Familiarity with simulation environments and game engines (e.g., OpenAI Gym, Unity, Unreal Engine). - Experience scaling experimentation, training pipelines, and evaluation processes for agent-based systems. - Strong analytical, debugging, and problem-solving skills in complex AI systems. - Excellent communication and collaboration skills across technical and non-technical stakeholders. Preferred - Experience with multi-agent systems, self-play, adversarial training, or population-based methods. - Exposure to imitation learning, offline RL, planning-based agents, or hybrid autonomy approaches. - Experience integrating agent services via APIs, RabbitMQ, gRPC, or REST-based microservices. - Familiarity with experiment management, reproducibility tooling, and evaluation automation. - Background in gaming AI, robotics, simulation, or control systems is a plus. Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 3+ years of applied experience in reinforcement learning, agent-based AI, or intelligent autonomous systems, including demonstrated leadership responsibilities (academic or industry). Travel Requirements Role based in Singapore office, with occasional travel (up to 1 trip per year ) for conferences, research collaborations, or business meetings. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
Senior Data Scientist
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : Razer Gold aims to become the world’s leading payment service provider for games and digital content. As our business grows to meet the needs of gamers globally, we are looking for a Senior Data Scientist to join our team and fulfill the needs of our gamer customer base by AI technologies. This Senior Data Scientist in Razer Gold role will focus on designing and developing advanced AIML/GenAI solution and play a key role in the Razer Gold Data Scientist team. The ideal candidate will have strong expertise in machine learning, deep learning, LLM fine-tune, Generative AI agents, and Retrieval-Augmented Generation (RAG). This role involves working closely with AI engineers, data engineers, and product managers and various business stakeholders to build advanced AIML/GenAI solutions . This Senior Data Scientist in Razer Gold role will focus on designing and developing advanced AIML/GenAI solution and play a key role in the Razer Gold Data Scientist team. The ideal candidate will have strong expertise in machine learning, deep learning, LLM fine-tune, Generative AI agents, and Retrieval-Augmented Generation (RAG). This role involves working closely with AI engineers, data engineers, and product managers and various business stakeholders to build advanced AIML/GenAI solutions . Job responsibilities - Translate business needs/problems into well-defined AIML/GenAI solution designs. - Develop AIML/GenAI solutions, including data preparation, model training, optimization and evaluation. - Apply latest GenAI related technologies and aim at intelligent process automation and efficiency gains for Razer Gold business. - Collaborate with engineering teams to build robust AI solutions pipeline and deploy AIML/GenAI solutions. - Participate in the design, development and implementation of Razer Gold AI-powered products/solutions/platform. - Communicate complex data findings/insights by AI-driven solutions to business leaders and technical teams. - Relevant exposure to fraud and financial crimes compliance AI initiatives would be preferred." Technical Skills - Proficiency in programming languages commonly used in data science such as Python, SQL. - Proficiency in Python and experience with PyTorch or TensorFlow for deep learning. - Solid knowledge of machine learning/deep learning and Generative AI. - Familiar with AIML/GenAI frameworks. - Experience of prompting engineering, LLM fine-tune/evaluation, RAG system, Agentic AI, MCP and reinforcement learning . - Experience with cloud data platforms and cloud-based AI deployment ( AWS, GCP, or Azure ). - Experience with big data technologies like Spark, Hadoop, or distributed computing frameworks. - Experience of handling large-scale structured and unstructured data. Education background & Experience: - Master's or PHD degree in Computer Science, Artificial Intelligence, Data Science, Machine learning or related Fields. - 2+ years of working experience in GenAI/AIML learning domain. - Working experience in fintech, payments, or fraud detection domain is a plus. - Strong problem-solving skills and communication skills, with the ability to work cross-functionally and influence stakeholders. Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
AI Software Engineer
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are seeking a highly skilled AI Software Engineer to design, develop, and deploy AI-powered solutions. This role involves building scalable AI systems, integrating AI / Machine Learning (ML) models into applications, and optimizing AI workflows for production. You will collaborate closely with data scientists, software engineers, and DevOps teams to bring cutting-edge AI capabilities to life. - Implement and optimize AI / ML models in production, via containerization (Docker, Kubernetes), for speed, accuracy and cost-effectiveness - Deploy AI models using RESTful APIs, gRPC, or edge computing solutions. - Implement monitoring, logging, and error-handling mechanisms to track AI performance. - Design APIs and microservices to integrate AI capabilities into software systems to ensure that they are secure, performant and well-documented - Monitor and optimize model performance in production environments, ensuring API latency and availability meet the required SLAs (Service Level Agreements). - Build scalable, high-performance AI pipelines for real-time and batch processing. - Implement MLOps best practices, including CI/CD for machine learning workflows on both local machines and cloud platforms - Work closely with data scientists to turn research models into deployable solutions. - Collaborate with DevOps and cloud engineers to ensure seamless AI model deployment. - Stay up to date with the latest AI/ML frameworks, tools, and industry trends in API, plugins development to continuously improve and enhance API solutions. - Identify opportunities to improve existing AI API / plugins architectures and suggest new features or services to add value to AI products. Pre-Requisites : - 3+ years of experience in AI/ML software development. - Proven track record of deploying AI solutions in production environments. - Strong experience in deploying AI models and API development using RESTful APIs, gRPC, or edge computing solutions. - Strong programming skills in Python, Java, or C++. - Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). - In depth understanding of containerization (Docker, Kubernetes) and DevOps practices. - Experience in developing and deploying AI applications running both edge deployment (TensorRT, ONNX, TFLite) and on cloud infrastructure (AWS, Azure or Google Cloud Platform) using Infrastructure as code tools such as Terraform and also cloud AI services (AWS SageMaker, Google Vertex AI, Azure ML). - Experience with database management (SQL, NoSQL, and vector databases). - Knowledge of distributed computing (Spark, Dask) and parallel processing. - Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment - Excellent written and verbal communication skills for coordinating across teams. Education & Experience - Has a Bachelor’s or Master’s degree in computer science, AI or similar discipline from an accredited institution Travel Requirements - Role based in Singapore office and may require up to 1 travel trip per year. Are you game?
Senior Data Scientist
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation. - Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications. - Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences. - Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows. - Build and optimize AI-powered gaming tools , enabling developers to create more immersive and dynamic player experiences. - Develop and fine-tune models to improve AI in gaming applications. - Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes. - Stay updated on the latest advancements in AI for gaming , ensuring our solutions remain state-of-the-art. - Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability. - Assist in the deployment, monitoring, and maintenance of AI models in production environments. - Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable Pre-Requisites : - Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation) . - Proficiency in Python and experience with PyTorch or TensorFlow for deep learning. - Experience with game engines such as Unity and Unreal Engine is a plus. - Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems . - Experience in training and fine-tuning large-scale AI models . - Experience with cloud-based AI deployment (AWS, GCP, or Azure) . - Strong problem-solving skills and ability to translate research into practical solutions. - Excellent verbal and written communication skills to collaborate with technical and non-technical teams. - Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies. Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media. Travel Requirements Role based in Singapore office, with occasional travel (up to 1 trip per year ) for conferences, research collaborations, or business meetings. Are you game?
Senior Data Scientist (Computer Vision Engineer)
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This role will focus on designing and developing advanced computer vision solutions for interactive systems. The ideal candidate will have strong expertise in core computer vision techniques such as object detection, tracking, segmentation, image classification, and video analysis, along with experience extending these capabilities for richer semantic understanding. This role involves working closely with data engineers, game developers, and software engineers to build scalable, production-ready vision systems that enable robust perception, automated analysis, and fast iteration in real-world environments . Essential Duties and Responsibilities - Develop and implement computer vision algorithms for tasks such as object detection, tracking, action recognition, segmentation, image classification and video understanding . - Design and contribute to end-to-end computer vision systems to meet functional, performance, and scalability requirements . - Collaborate with data engineering team to design annotation schemas, labeling taxonomies, and data validation strategies for large-scale image, video, and multimodal datasets supporting computer vision and multimodal model training. - Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries. - Evaluate the performance of computer vision models using appropriate metrics and benchmarks. - Optimize models for real-time inference, edge deployment, or large-scale serving, considering latency, memory, and throughput constraints. - Work closely with software engineering teams to support the integration and deployment of computer vision and multimodal models into production systems via APIs and messaging frameworks. - Conduct testing and validation to ensure the functionality, reliability, and accuracy of computer vision systems. - Document design specifications, technical requirements, and implementation details for computer vision solutions. - Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation. - Consider ethical, legal, and regulatory implications in the development and deployment of computer vision systems . Pre-Requisites : Qualifications - Proven experience in developing and implementing computer vision algorithms and models in real-world applications. - Proficiency in programming languages such as Python or C++. - Strong understanding of image and video processing techniques and methodologies. - Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks such as PyTorch and TensorFlow for developing and training vision models. - Experience defining data requirements and working with annotated datasets for computer vision model training. - Ability to evaluate and optimize model performance using task-specific metrics and benchmarks. - Strong analytical and problem-solving skills . - Excellent written and verbal communication skills across technical and non-technical teams . Preferred - Experience with Vision-Language Models (VLMs), multimodal learning, or generative AI for vision tasks. - Experience with messaging and communication technologies such as RabbitMQ, gRPC, REST APIs for service integration. - Exposure to distributed training, large-scale experiments, or multi-GPU systems. - Experience with model optimization and deployment (e.g., ONNX, TensorRT, edge or real-time inference). Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 2+ years of applied experience in computer vision or multimodal AI (academic or industry). Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
Data Scientist
As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop. What you'll do - Discuss with stakeholders requirements for analysis - Run exploratory data analysis and turn it into questions which can be answered with analytical techniques - Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems - Communicate results clearly and effectively - Take care of unclear and ambiguous requirements - Communicate complex ideas and analyses in a simple way - Work independently on complex projects - Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science - Be able to use diverse data science tools and approaches What we're looking for - A degree or equivalent work experience in data driven field - Ability to use visualization techniques for communicating data and analysis - Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. - R/Python experience - Knowledge and experience of SQL Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Senior QA AI Engineer
At Aristocrat, we deliver world-class entertainment through advanced gaming technologies and unforgettable play experiences. Our passionate team thrives on creativity, collaboration, and driving outstanding quality in our products. As a Senior QA AI Engineer, you'll be instrumental in rebuilding our QA approach by incorporating AI solutions to improve our quality processes. This role is pivotal to ensuring flawless execution and reducing risks across our gaming platforms. You'll join a dynamic team with the freedom to experiment and innovate, backed by a global leader in the gaming industry. This is your chance to build the future of QA in a company that values ambition and proven success! What You'll Do - Explore, configure, and evaluate AI tools for issue detection, code change analysis, product risk identification, and QA workflow improvement. - Build practical AI-assisted quality checks for merge requests, peer reviews, continuous integration workflows, and product change validation. - Assess how new code changes align with existing code patterns, product behavior, known risks, and historical defects. - Validate AI-generated findings from a QA perspective, ensuring they are useful, explainable, actionable, and not excessive noise. - Help define AI-assisted quality gates for Core application repositories and support their gradual rollout in CI workflows. - Translate QA knowledge into prompts, workflows, playbooks, checklists, and evaluation criteria that can scale across teams. - Partner with developers, QA engineers, automation engineers, architects, product managers, and QE Champions to embed quality earlier in the lifecycle. - Identify high-value AI-for-QA use cases across regression analysis, impact assessment, exploratory testing support, and release risk evaluation. - Run structured experiments to measure the efficiency of AI quality checks and improve them based on real outcomes. - Contribute to QA ownership shift initiatives, including quality playbooks, scorecard baselines, and product-team quality enablement. What We're Looking For - 5+ years of professional experience in software quality assurance, with strong hands-on experience testing sophisticated products, platforms, games, or large-scale applications. - Senior-level QA judgment, including significant risk analysis, exploratory thinking, defect investigation, regression assessment, and release quality evaluation. - Keen passion for AI and direct experience employing AI tools to boost analysis, investigation, documentation, testing, code insight, or routine workflows. - Familiarity with Git workflows, pull requests, code reviews, CI/CD concepts, SDLC practices, and modern engineering collaboration. - Ability to distinguish meaningful quality risks from low-value AI noise and challenge AI outputs critically. - Strong communication skills, with the ability to explain quality risks, AI findings, and improvement opportunities clearly to technical and non-technical collaborators. - Comfortable working in ambiguous areas where processes, tooling, and success criteria are still being defined. Nice to Have - Experience in gaming, Unity-based products, live operations, backend systems, APIs, logs, databases, or complex client-server architectures. - Basic scripting, automation awareness, timely engineering, AI agents, static analysis, quality gates, QA metrics, or experience crafting QA playbooks and scorecards. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
ML/AI Engineer
At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. What You'll Do - Deploy machine learning models that support game features, player experience, and operational efficiency. - Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. - Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. - Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. - Help build and implement model monitoring systems to ensure long-term performance and business alignment. - Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value. - Communicate results, limitations, and recommendations clearly across technical and business collaborators. What We're Looking For - 5+ years of experience applying machine learning to real-world problems, from data to deployment. - Strong Python skills and hands-on experience with ML Python libraries. - Solid SQL expertise and experience working with large data warehouses. - Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. - Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. - Hands-on experience building applications with Generative AI (LLMs), including API integration. - Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work. - Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. - Curiosity, initiative, and a desire to learn and grow in a fast-evolving space. - Degree in a relevant technical field or equivalent experience. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Technical Lead - AI Specialist / Automation Engine...
At Aristocrat, we're on a mission to bring happiness to life through the power of play. We believe our innovative and inclusive culture drives our success. We're committed to making a positive impact in the gaming industry. As a Technical Lead - AI Specialist / Automation Engineer, you'll have the chance to develop the future of our AI-based tools and platforms. You will make a significant impact within our engineering, creative, and quality assurance teams. This is an outstanding opportunity for someone passionate about using modern technologies to improve our workflows and deliver world-class gaming experiences. Join our ambitious team and help us continue to raise the standard in responsible gameplay and sustainability! What You'll Do - Cross-Functional AI Tooling: Partner with Dev, Creative, and QA leads to identify operational bottlenecks and engineer tailored AI solutions. - Build and prioritize custom graphics tools to capture and multiply both static and animated art assets. These tools ensure they closely match our studio's outstanding art style. - Architecture & Development: Build, test, and deploy internal AI applications, custom web portals, and Slack/Teams bots using modern LLM APIs. - Workflow Automation: Build end-to-end automated pipelines connecting software systems like Jira, GitHub, and CMS using orchestration frameworks. - Prompt Engineering & Fine-Tuning: Develop, evaluate, and optimize complex system prompts and workflows for high-quality outputs. - Evaluation & Maintenance: Monitor tool performance, manage API cost optimization, mitigate model hallucination, and ensure strict data privacy and security compliance. Domain-Specific Impact Areas - For Dev & Math Teams: Automate tasks such as summarizing technical documentation, generating boilerplate code, and AI-assisted code reviews. Develop specialized AI tools to assist with complex math tooling and game balancing. - For Creative Teams: Build asset-generation pipelines, automated game rules generation, and tools to generate themes that help Artists/Animators scale content securely. - For QA Teams: Build agents that parse acceptance criteria to generate comprehensive test cases, automate synthetic test data generation, generate submission documents, and categorize bug reports. What We're Looking For - Experience: 5+ years in software engineering, with at least 1.5+ years of hands-on experience building production-grade AI/LLM applications. - Specialized Expertise: Strong experience with art and animation pipelines is highly favorable. - Programming: Proficiency in Python or TypeScript/Node.js. - AI Ecosystem: Deep familiarity with LLM APIs, orchestration frameworks, and Vector Databases. - Integrations: Proven track record of working with REST APIs, webhooks, and SDKs for various platforms like GitHub, Jira, Figma, Adobe, Slack, and Teams. Soft Skills & Approach - Product Approach: Ability to interview internal users, translate their difficulties into technical requirements, and build intuitive UX/UI. - Ambiguity Champion: Comfortable working in a rapidly shifting AI landscape, evaluating new frameworks, and picking the right tool for the job. Qualification - Education: Computer Science Education (B.Tech/BE/MCA). Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V - World Leader in Gaming Entertainment - Robust benefits package - Global career opportunities Our Values - All about the Player - Talent Unleashed - Collective Brilliance - Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Data Scientist - Principal
Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us reach our ambitious goals. You will have a vital role in enhancing gameplay, boosting player engagement, and improving business outcomes with your advanced data expertise. This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games. What You'll Do - Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. - Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. - Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. - Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. - Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. - Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. - Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. - Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. - Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. - Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. - Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking - Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. - Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. - Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. - Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. - Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). - Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
ML Engineer
At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. What You'll Do - Deploy machine learning models that support game features, player experience, and operational efficiency. - Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. - Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. - Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. - Help build and implement model monitoring systems to ensure long-term performance and business alignment. - Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value. - Communicate results, limitations, and recommendations clearly across technical and business collaborators. What We're Looking For - 5+ years of experience applying machine learning to real-world problems, from data to deployment. - Strong Python skills and hands-on experience with ML Python libraries. - Solid SQL expertise and experience working with large data warehouses. - Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. - Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. - Hands-on experience building applications with Generative AI (LLMs), including API integration. - Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work. - Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. - Curiosity, initiative, and a desire to learn and grow in a fast-evolving space. - Degree in a relevant technical field or equivalent experience. Travel Expectations Minimal travel required (up to 5%) Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V - World Leader in Gaming Entertainment - Robust benefits package - Global career opportunities Our Values - All about the Player - Talent Unleashed - Collective Brilliance - Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Tech Lead — DevX & AI
ABOUT YOU We are looking for a Tech Lead to drive delivery and cross-team coordination for the Shop Builder DevX and AI team. You are the bridge between architecture and execution: you take the technical direction set by the Principal Engineer and turn it into a running, shipping team. You lead a squad of three engineers building the developer surface that Shop Builder is missing — MCP server, CLI, SDK, documentation pipeline, local dev environment, deploy and versioning path. You set the delivery cadence, remove blockers, coordinate inbound dependencies from payments, auth, live ops, and catalog, and own the quality of what ships. This is a hands-on role. You write production code, lead code reviews, and drive technical decisions within your domain. You also have the seniority and judgment to coordinate across teams and represent the team's work to engineering leadership. ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities - Drive the delivery of the Shop Builder developer surface: MCP server, CLI and local dev environment, public SDK, documentation pipeline, sandbox and preview environments, deploy and versioning path. - Lead and mentor a team of three engineers — setting technical direction within the squad, running code reviews, and ensuring consistent engineering quality. - Own cross-team coordination: identify and pull inbound API capabilities from payments, auth, live ops, and catalog teams; unblock dependencies; manage integration timelines. - Actively contribute to implementation — you ship production code alongside the team, particularly on the most critical and complex components. - Partner with the Principal Engineer to translate architecture decisions into sprint-level execution plans and realistic timelines. - Collaborate with the PO on roadmap sequencing, scope decisions, and trade-offs between speed and correctness. - Own the team's delivery rhythm: sprint planning, technical grooming, retrospectives, and status visibility to engineering and business leadership. - Define and maintain the team's engineering standards: testing strategy, observability, deployment practices, and documentation quality. - Act as the primary technical contact for integrations with headless partners and the MIT professional services team during early partner onboarding. - Contribute to hiring by conducting technical interviews and defining what great looks like for the engineers joining this team. Qualifications & Skills - 6+ years of professional software engineering experience, with at least 2 years in a tech lead, staff, or senior lead role driving delivery across a team. - Strong proficiency in JavaScript/TypeScript and Node.js, with experience shipping production APIs, CLIs, or SDKs to external developers. - Hands-on experience building CLI tools and developer-facing workflows: command design, config file formats, local dev loops, deploy commands, and error messages that actually help. - Solid understanding of REST API design principles, SDK ergonomics, and what makes a developer experience work — you have strong opinions and can back them up. - Practical familiarity with the Model Context Protocol (MCP) or agentic tool-use patterns: you understand how AI agents consume tool interfaces and what makes a tool reliable for an LLM. - Experience coordinating across multiple engineering teams to ship features that depend on inbound capabilities you don't own. - Proven ability to lead engineers: clear technical direction, raising the quality bar through reviews, developing other engineers' skills. - Cloud-native experience: CI/CD pipelines, containerization (Docker/Kubernetes), and deployment automation on AWS or GCP. - Strong communication skills — you translate technical complexity into clear status for leadership, and technical requirements into actionable work for your team. Nice to Have - Experience in game tech, digital commerce, storefront platforms, or headless architecture. - Background building React component libraries, design systems, or frontend platforms consumed by external developers. - Experience building sandboxed execution environments for third-party code (custom blocks, extensions, plugins). - Familiarity with LLM-generated code evaluation: assessing whether an AI-produced block, component, or layout is correct and safe to ship. - Prior experience standing up a greenfield team from scratch and knowing what that demands. - Exposure to documentation-as-code workflows and toolchains that publish to multiple surfaces from a single source of truth. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For this role, we will conduct a background check that may include the following: - Criminal history check - Employment verification - Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: - Accessing confidential company data - Ensuring compliance with regulatory requirements - Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com .
LLM Solutions Architect
ABOUT YOU We are looking for an LLM Solutions Architect who is a builder at heart — someone who shapes strategy and ships real systems — to join our Monetization Products team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to drive AI product hypotheses from prototype to production-grade engineering. Strong technical architecture skills are essential, along with experience in designing and deploying LLM-powered systems in production. The ability to influence product direction, prototype rapidly, and communicate trade-offs clearly to both engineers and executives will be key to your success in this role. If you’re passionate about advancing AI technology solutions and love building intelligent, agent-first capabilities that transform how game developers monetize their products, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. Responsibilities - Design end-to-end agentic architectures — tool-use schemas, intent parsing, multi-step orchestration, and safety guardrails — engineered for long-term ownership by product engineering teams, not solo maintenance. - Define the multi-modal interface strategy across our product portfolio: how the same capability is exposed via UI, API, SDK, and agentic natural language — consistently and without duplication. - Design the horizontal LLM platform layer — shared RAG pipelines, prompt libraries, vector search infrastructure, and evaluation frameworks — that product engineering teams can build on and operate independently. - Prototype rapidly to validate AI product hypotheses before full engineering investment. Prototype acceptance by product teams is a primary success signal. - Ensure every system you architect comes with the observability, documentation, and engineering runbooks needed for a product squad to take ownership confidently. - Shape product strategy alongside Product leadership: actively influence what AI capabilities get prioritized, in what order, and with what trade-offs. - Select and govern LLM providers and deployment strategies per use case — balancing cost, latency, accuracy, and privacy requirements. - Drive alignment across Engineering, Product, and Design on what ‘agent-ready’ means for each product surface. - Mentor engineers on LLM integration patterns, agent evaluation, and production deployment practices — building the team’s capability to own what you design. Qualifications & Skills Required - 5+ years of engineering experience, with at least 2 years designing and deploying LLM-powered systems in production. - Proven track record designing agentic systems: tool-use, function calling, multi-step reasoning, orchestration, and error recovery at production scale. - Experience designing AI systems for engineering team ownership — including observability standards, handoff documentation, and runbooks that let other teams maintain what you build. - Hands-on experience with major LLM APIs (OpenAI, Anthropic, Google Gemini) and at least one open-source model stack. - Experience building RAG pipelines with vector databases and orchestration frameworks (LangChain, LlamaIndex, or custom). - Strong Python engineering skills — production-grade LLM services, not just notebooks. - Demonstrated ability to influence product direction: you have shaped what gets built, not just how. - Clear communication in both directions: architectural trade-offs to engineers, business outcomes to executives. Nice to Have - Background in gaming, payments, or e-commerce — understanding of developer workflows, monetization models, or merchant operations. - Fine-tuning experience (PEFT/LoRA) for domain-specific model adaptation. - Experience with multi-agent orchestration frameworks (AutoGen, CrewAI, or custom). - Familiarity with LLM evaluation frameworks (RAGAS, DeepEval, or custom harnesses). - Exposure to EU AI Act, GDPR, or other AI compliance frameworks. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the LLM Solutions Architect position, we will conduct a background check that may include the following: - Criminal history check - Employment verification - Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: - Accessing confidential company data and proprietary AI systems - Ensuring compliance with regulatory requirements including AI governance frameworks Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Lead AI/ML Engineer
ABOUT YOU We're seeking a Lead AI/ML Engineer to architect and scale our data infrastructure supporting personalization, churn prediction, and recommendation systems across Xsolla's global gaming commerce platform. You'll lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines integrating multiple sources, and establish best practices for data quality, governance, and performance. This role combines hands-on technical leadership with cross-functional collaboration, mentoring engineers, partnering with data science and backend teams to productionize ML features, and working directly with the Director of Data Platforms to translate business needs into technical solutions. You'll be instrumental in shaping our data mesh architecture while ensuring compliance, scalability, and operational excellence as we serve game developers worldwide. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . Responsibilities: - Design, build, and optimize algorithms in Vertex AI - Develop scalable data models and algorithms supporting user 360 views, churn prediction, and recommendation engine inputs - Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway - Implement CI/CD for data pipelines using Git, dbt, and automated testing - Define data quality checks and auditing pipelines for ingestion and transformation layers - Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning - Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake - Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII) - Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications - Tune algorithm performance - Establish data partitioning, clustering, and materialized views for fast query execution - Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight) - Establish and enforce naming conventions, data lineage, and metadata standards across schemas - Lead code reviews, enforce documentation standards, and manage schema versioning - Contribute to the company's evolving data mesh and streaming architecture vision Qualification & Skills: - 5+ years of experience in AI/ML engineering, with 3+ years in Vertex.ai . - Strong SQL and Python skills, with proven experience building ETL/ELT at scale. - Deep understanding of algorithm performance tuning , query optimization , and warehouse orchestration . - Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar). - Solid understanding of data modeling (Kimball, Data Vault, or hybrid). - Proficiency in Kafka , GCP , or AWS for real-time or batch ingestion. - Familiarity with API-based data integration and microservice architectures . Nice to Have: - Experience lead machine learning teams or/and deploying ML feature pipelines . - Background in ad-tech, gaming, or e-commerce recommendation systems. - Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built). - Experience managing small data engineering teams and setting technical direction - Strong ownership and ability to work autonomously in a fast-paced environment. - Excellent cross-functional communication — can translate between engineering and business. - Hands-on problem solver who balances velocity with reliability. - Collaborative mentor who raises the bar for team quality and discipline Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Lead AI/ML Engineer we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com . By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to careers@xsolla.com .
Full Stack AI Engineer / Applied AI Engineer
ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . Responsibilities: - Design and develop full-stack applications that power GenAI applications and platforms - Develop and maintain frontend applications using Next.js with API routes. - Design and implement visually appealing and responsive user interfaces using Tailwind CSS / Shadcn or other CSS libraries. - Write clean, efficient, and scalable code in Python and TypeScript . - Work with various libraries or frameworks based on project requirements. - Be up-to-date with latest happenings in AI and Associated AI tools, technologies and frameworks (e.g. MCP, Agentic systems) - Build APIs and infrastructure to support LLM-based features, tools, and agent workflows. - Collaborate with frontend, ML, and product teams to create seamless AI experiences. - Optimize backend systems for performance, scalability, and reliability. - Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.) - Maintain clean, secure, and production-grade code Qualifications & Skills: - 1–3 years of experience in full-stack development. - Proficient in Python and Typescript. - Strong experience with REST APIs, microservices, and scalable cloud infrastructure. - Experience building or supporting GenAI applications and/or LLM-powered products. - Comfortable working with and building Agentic systems (e.g. building custom Lovable or Claude Code for custom applications) - Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) - Excellent problem-solving, communication, and collaboration skills Nice to Have: - Experience building and scaling AI-powered SaaS products - Contributions to open-source GenAI projects - Understanding of context engineering and agent orchestration frameworks Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Full Stack AI Engineer, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification. Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds
Full Stack AI Engineer
ABOUT YOU We are looking for a Full-Stack AI Engineer who is innovative, curious, and passionate about generative AI to join our GenAI engineering team in Kuala Lumpur. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build cutting-edge AI-powered applications and platforms that transform how game developers work and create. Strong proficiency in Python and TypeScript is essential, along with hands-on experience building full-stack applications using Next.js , modern frontend frameworks, and scalable backend infrastructure. The ability to stay current with rapidly evolving AI technologies—from LLM integrations to agentic systems—while delivering production-grade, user-focused solutions will be key to your success in this role. If you're passionate about pushing the boundaries of AI technology and love building intelligent tools that empower the gaming industry, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . Responsibilities - Design and develop full-stack applications that power GenAI applications and platforms - Develop and maintain frontend applications using Next.js with API routes. - Design and implement visually appealing and responsive user interfaces using Tailwind CSS / Shadcn or other CSS libraries. - Write clean, efficient, and scalable code in Python and TypeScript . - Work with various libraries or frameworks based on project requirements. - Be up-to-date with latest happenings in AI and Associated AI tools, technologies and frameworks (e.g. MCP, Agentic systems) - Build APIs and infrastructure to support LLM-based features, tools, and agent workflows. - Collaborate with frontend, ML, and product teams to create seamless AI experiences. - Optimize backend systems for performance, scalability, and reliability. - Work with vector databases, data pipelines, and AI model endpoints (OpenAI, Anthropic, Hugging Face, etc.). - Maintain clean, secure, and production-grade code Requirements - 1–3 years of experience in full-stack development. - - Proficient in Python and Typescript. - - Strong experience with REST APIs, microservices, and scalable cloud infrastructure. - - Experience building or supporting GenAI applications and/or LLM-powered products. - - Comfortable working with and building Agentic systems (e.g. building custom Lovable or Claude Code for custom applications) - - Exposure to cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) - - Excellent problem-solving, communication, and collaboration skills Nice to Have - Experience building and scaling AI-powered SaaS products - Contributions to open-source GenAI projects - Understanding of context engineering and agent orchestration frameworks BENEFITS: Convenient work tools Latest Mac workplaces + additional hardware to make you more effective at work Google Chat, Gmail, Google Drive, Confluence, Jira, GitLab Professional growth Free trainings and participation in specialized conferences Rich knowledge exchange within the company More perks Health insurance (Medical, dental and optical)- Employee and dependants Flexible hours: organize your day according to your needs and sprint & teamwork demands No dress code Comfortable and new office environment The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com . For more vacancies: https://xsolla.com/careers
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