Senior GPU System Software Engineer NvidiaSenior GPU System Software EngineerSanta Clara, CAThis position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. 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.
Senior Firmware Engineer - GPU NvidiaSenior Firmware Engineer - GPUSanta Clara, CAWe're looking for an experienced System Software Engineer to help develop the boot, firmware, and software solutions focused on safeguarding that power NVIDIA's next-generation SoCs. This is an opportunity to work on challenging low-level system software, collaborate with world-class engineering teams, and help bring innovative silicon from concept to production.
Data Center Power Test Architect NvidiaData Center Power Test ArchitectSanta Clara, CAYou will: Define End-to-End Test Strategy: Own and drive the overall test architecture and validation strategy for power features across multiple NVIDIA platforms-from pre-silicon simulation and emulation to post-silicon bring-up and production readiness. Boost Team Efficiency with AI: Demonstrate proven experience using AI-powered tools and copilots to accelerate test development, automate repetitive validation workflows, and streamline debug and root cause analysis.
NewCompiler Engineer - AI Inference NvidiaCompiler Engineer - AI InferenceSanta Clara, CAMore 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. What you'll be doing: Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.
NewAsic Design Engineer NvidiaAsic Design EngineerSanta Clara, CAWhat you'll be doing: Drafting microarchitecture documents and implementing high-performance, and area and power-efficient RTL to meet strictly defined development targets and specifications. Collaborating closely with architects, other designers, and pre and post silicon verification teams to deliver world-class RTL builds.
NewSenior EDA Engineer, SOC Design Methodology NvidiaSenior EDA Engineer, SOC Design MethodologySanta Clara, CAOur team develops the software that powers how NVIDIA's ASIC engineers design chips - building tools, automating flows, and co-developing with EDA vendors to push design methodology toward Speed of Light. We're a cross-functional team working across SoC design, RTL, and build infrastructure, and we're looking for an engineer who understands chip design well enough to know what's slowing it down - and can build the tools to fix it.
NewResearch Engineer, Interactive World Models - New College Grad 2026 NvidiaResearch Engineer, Interactive World Models - New College Grad 2026Santa Clara, CAHelp advance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency. Experience profiling or optimizing ML workloads using CUDA, Triton, TensorRT, torch.compile, or similar tools, including work on latency, throughput, quantization, streaming, state or cache management, or multi-GPU execution.
NewSenior Integration Engineer - Autonomous Vehicles NvidiaSenior Integration Engineer - Autonomous VehiclesSanta Clara, CANow, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. 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.
NewSenior GPU Memory Architect NvidiaSenior GPU Memory ArchitectSanta Clara, CAWhat we need to see: Bachelor's degree (or equivalent experience) in Computer Engineering, Electrical Engineering, Computer Science, or a related field with a minimum of 8+ years of relevant professional experience is required. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance, power, and area (PPA).
NewOffensive Hardware Security Researcher NvidiaOffensive Hardware Security ResearcherSanta Clara, CAMore 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. Track record of advancing offensive security research field through vulnerability discoveries, research publications, and/or developing security tools.
NewSenior Verification Engineer - Hardware NvidiaSenior Verification Engineer - HardwareSanta Clara, CAWhat you will be doing: We support multiple emulation environments using the latest emulation techniques (C/C++ DPI Transactors, SV assertions, Coverage, Power Estimation, SpeedBridges, Accelerated UVM Testbenches). NVIDIA invention of the GPU in 1999 accelerated the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
NewPlatform Architecture Engineer, Geforce NOW NvidiaPlatform Architecture Engineer, Geforce NOWSanta Clara, CANVIDIA's GeForce NOW service is built on top of our GPU technology, including our proprietary GPU architectures and software optimizations allowing efficient and high-quality gaming experience even at high resolutions. What we need to see: To be successful in this role, you should have: Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI).
NewSenior System Software Engineer - Tegra Tools NvidiaSenior System Software Engineer - Tegra ToolsSanta Clara, CADevelop and maintain host and target software tools for flashing and provisioning workflows, assisting both internal NVIDIA teams and external partners working with products for NVIDIA platforms. Solid comprehension of the SoC boot sequence, spanning from ROM and bootloader phases to kernel initialization, along with the capability to troubleshoot boot failures at multiple points.
VLM & VFM Forward Deployed Engineer MatroidVLM & VFM Forward Deployed EngineerPalo Alto, CA$150,000–$300,000Strong Python coding skills, with the ability to build reliable systems that interact with various models, APIs, databases, customer infrastructure, and production workflows. Matroid is a full-service computer vision company that has developed an end-to-end platform allowing enterprise customers to rapidly train and deploy automated visual inspection on imagery, including EO, IR, X-Ray, CT, OCT, and others.
Deep Learning Field Engineer MatroidDeep Learning Field EngineerPalo Alto, CAWe're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization, safety, and compliance. Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital, and has a broad range of customers and partners in manufacturing, aerospace, transportation, security, safety, and compliance.
Electrical & Computer Engineer (Temporary/Contract) CeribellElectrical & Computer Engineer (Temporary/Contract)Sunnyvale, CA$85–$100 / hourWe have working prototypes of most peripherals on various development platforms (Raspberry Pi and Arduino) and need an experienced embedded engineer to port, integrate, bring up, and test these on the target host, then help drive the design toward manufacturing readiness. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country.
NewNvidia 2027 Internships: Deep Learning Computer Architecture NvidiaNvidia 2027 Internships: Deep Learning Computer ArchitectureSanta Clara, CADepending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Perl, CUDA, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP). Course or internship experience related to the following areas could be required: Experience in one or more of these Focus Areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems.
NewSoftware Engineer - Sensor, SaO (Hybrid) CrowdStrike IncSoftware Engineer - Sensor, SaO (Hybrid)Sunnyvale, CA$90,000–$125,000 / yearDeep runtime analysis is our craft: postmortem memory dump analysis, disassembly and reverse engineering, and source-level analysis, used to explain with precision and evidence how low-level code behaves on real systems. We're chartered to turn what we learn from deep analysis into durable engineering improvements - strengthening diagnostics, tooling, validation coverage and development practices so that lessons generalize far beyond the investigation that produced them, and so that the next analysis is faster than the last.
Software Engineering Manager - Networking System Software GMSoftware Engineering Manager - Networking System SoftwareMountain View, California$217,500–$333,400 / yearWe hire managers that software engineers are excited to work for: those who are excited about the work, know how and when to help, when to mentor, and share a deep commitment to shipping great software. Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Hardware Engineering Manager - Robotics R&D Johnson & JohnsonHardware Engineering Manager - Robotics R&DSanta Clara, CaliforniaBusiness Behavior, Consulting, Critical Thinking, Design Mindset, Design Thinking, Developing Others, Electrical Engineering, Feasibility Studies, Inclusive Leadership, Leadership, Mechanical Engineering, Quality Focus, Research and Development, Robotic Automation, SAP Product Lifecycle Management, Science, Technology, Engineering, and Math (STEM) Application, Smart Systems, Technical Research . You will work alongside cross-functional engineering teams to drive meaningful contributions in areas including custom actuator design, structural design, sensor integration, and novel human-robot interaction technologies .