NewSenior Failure Analysis Engineer NvidiaSenior Failure Analysis EngineerSanta Clara, CAWhat You'll Be Doing: Own the reliability, performance, and continuous improvement of production-critical systems, including databases, CAD navigation tools, and failure analysis platforms, ensuring high availability and responsiveness for semiconductor engineering and manufacturing teams. This hybrid role sits at the intersection of software engineering, data infrastructure, semiconductor development, and production tooling - building and sustaining the intelligent platforms and workflows that power failure analysis, debug, and engineering insight at scale.
NewSenior System Software Engineer - AV Platform NvidiaSenior System Software Engineer - AV PlatformSanta Clara, CAProactively work with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to drive cross-team dependency and schedule alignment, coordinate progress, and debug issues to meet production release timelines. Work closely with other software engineers to identify and implement build and packaging infrastructure requirements, and develop automated tests to accelerate development for Autonomous Vehicles.
Senior Director, Reliability Engineering NvidiaSenior Director, Reliability EngineeringSanta Clara, CAThis is a role for a deeply technical leader who can operate at both the physics-of-failure level and the executive level - someone who brings rigor to reliability modeling, drives design decisions through data, and builds organizations capable of sustaining NVIDIA's pace of innovation. You will own the reliability engineering strategy for NVIDIA's broad boards and systems product portfolio, lead globally distributed teams and labs, and influence design, manufacturing, and supply chain decisions at scale.
Developer Technology Engineer, Public Sector - New College Grad 2026 NvidiaDeveloper Technology Engineer, Public Sector - New College Grad 2026Santa Clara, CAWhat you will be doing: Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications, and high productivity software environments (e.g. Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity.
NewHuman Data Manager SpaceXAIHuman Data ManagerPalo Alto, CA$100,000–$186,000 / yearYou sit at the intersection of model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. ABOUT THE ROLE: You will ensure engineering teams get the right data they need—high-quality tasks and evaluations—by crafting and executing high-value Human Data projects.
Director Engineering - AI/ML Stanford Health CareDirector Engineering - AI/MLPalo Alto, CaliforniaBridge Research & Practice: Act as the primary technical liaison between your engineering team and partners in the Chief Data Science Officer's lab, translating novel research into production-ready platform features. Modern MLOps: Implement and oversee robust MLOps practices, including state-of-the-art GenAI evaluation techniques in collaboration with the Chief Data Science Officer and the members of the GUIDE-AI lab ([Link to arXiv paper]).
Director Engineering - Ai/Ml Stanford Health CareDirector Engineering - Ai/MlPalo Alto, CA$112.39–$148.91 / hourBridge Research & Practice: Act as the primary technical liaison between your engineering team and partners in the Chief Data Science Officer's lab, translating novel research into production-ready platform features. Modern MLOps: Implement and oversee robust MLOps practices, including state-of-the-art GenAI evaluation techniques in collaboration with the Chief Data Science Officer and the members of the GUIDE-AI lab ([Link to arXiv paper]).
Manager, Machine Learning Engineering, Web Ads Ranking SnapchatManager, Machine Learning Engineering, Web Ads RankingSan Francisco, CA$229,000–$343,000 / yearBuild the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Fulcrum - Forward Deployed Engineering Lead deCircleFulcrum - Forward Deployed Engineering LeadSan Francisco, CaliforniaJoin a lean, staff-level team (ex-Affirm, Uber, DoorDash, McKinsey) working side-by-side in San Francisco; we believe the best ideas are fostered in an in-person environment. You'll work directly with some of the largest brokerages in the world—partnering closely with our teams to implement Fulcrum's software and drive customer outcomes.
Software Engineering Manager - Platform Team DataVisorSoftware Engineering Manager - Platform TeamMountain View, CA$180,000–$350,000 / yearOur award-winning AI decision platform combines industry-leading unsupervised machine learning (UML) with advanced supervised models to stop fraudulent activity across financial transactions, mobile growth, social networks, and e-commerce. This team is at the heart of DataVisor's detection capabilities, building the AI-based fraud and risk decision platform that powers real-time and batch unified decisioning at enterprise scale.
ML Infrastructure Engineer Echo NeurotechnologiesML Infrastructure EngineerSan Francisco, CaliforniaThe person who fills this role will design, build, and scale infrastructure to power massive-scale data, modeling, and analysis platforms, playing a critical role in shaping a high-performance, production-grade ML ecosystem to support rapid experimentation with diverse datasets spanning neural signals, behavior, and more. The work will ultimately enable the development of cutting-edge models for neuroscientific discovery and neural decoding, empowering brain-computer interface technology to improve the lives of patients living with severe neurological conditions.
Manager, Manufacturing Systems ZooxManager, Manufacturing SystemsHayward, CAYou are also responsible for working with other teams within the Manufacturing Engineering organization and cross-functional teams from other Manufacturing Operations Departments, Field Service Engineering, IT and Business Application, and Program Management to formulate short and long-term Manufacturing Systems strategies, including repair traceability and configuration control to support the execution of Zoox requirements. You will work with relevant leaders and teams to develop specific Manufacturing Systems Team roadmaps, project schedules, identify milestones, flag risks, estimate budgets, track costs, and clearly communicate ongoing progress.
Algorithm Engineer (C++, Image Processing, Hpc) KLA CorporationAlgorithm Engineer (C++, Image Processing, Hpc)Milpitas, CA$136,300–$231,700 / yearEnabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The successful candidate will leverage expertise in algorithm development, applied mathematics, high-performance computing, and software engineering to solve challenging technical problems and deliver robust production solutions.
Sr. Software Engineer - Cloud Security IllumioSr. Software Engineer - Cloud SecuritySunnyvale, CAOur Team's Vision: Our Engineering team is driven by a culture that thrives on visionary leadership, autonomy, and ownership, creating a dynamic synergy that drives us forward in the ever-evolving landscape of cybersecurity. And together, we will continue to build world-class products-led by people with different perspectives, backgrounds, and a commitment to innovation in a time when the world faces its greatest cybersecurity threats in history.
Senior Software Engineer, Trust And Safety Engineering BoxSenior Software Engineer, Trust And Safety EngineeringRedwood City, CA$211,000–$255,000 / yearWork in this area spans a wide range of disciplines, including building and operating containerized microservices in a Kubernetes-based environment, developing behavioral detection systems and machine learning models to identify suspicious activity, tuning rate limiters and other mitigation controls across the Box stack, and delivering product security features that proactively reduce risk. Preferred qualifications include experience with machine learning models, large-scale datasets, Java Spring/Spring Boot, Terraform-based public cloud infrastructure, and trust and safety, abuse, or fraud mitigation systems.
Software Engineer III, Engineering Productivity, Google Cloud Platforms GoogleSoftware Engineer III, Engineering Productivity, Google Cloud PlatformsSunnyvale, CAWe're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. 2 years of experience building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).
Software Engineer III, Embedded Systems/Firmware, Platforms and Devices GoogleSoftware Engineer III, Embedded Systems/Firmware, Platforms and DevicesMountain View, CAWe're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Software Engineer III, Infrastructure, Google Cloud Networking GoogleSoftware Engineer III, Infrastructure, Google Cloud NetworkingSunnyvale, CAWe're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud.
NewSoftware Engineer, Inference (AI Data Engineering) SpaceXSoftware Engineer, Inference (AI Data Engineering)Palo Alto, CA$135,000–$175,000 / yearThe application software team is the central nervous system of SpaceX – we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to achieve its loftiest engineering goals at a rapid pace.
Senior Software Engineer, Trust and Safety Engineering BoxSenior Software Engineer, Trust and Safety EngineeringRedwood City, CA$211,000–$255,000 / yearWork in this area spans a wide range of disciplines, including building and operating containerized microservices in a Kubernetes-based environment, developing behavioral detection systems and machine learning models to identify suspicious activity, tuning rate limiters and other mitigation controls across the Box stack, and delivering product security features that proactively reduce risk. Preferred qualifications include experience with machine learning models, large-scale datasets, Java Spring/Spring Boot, Terraform-based public cloud infrastructure, and trust and safety, abuse, or fraud mitigation systems.