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.
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.
Perception Engineer Human Computer LabPerception EngineerSan Francisco, CaliforniaYou will work closely with the CEO and the founding team to develop perception capabilities from prototype to deployment, collecting data, training models, optimizing performance, and integrating the stack directly into the robot's behavior. You will work on developing computer vision and machine learning system at the core of the robot’s awareness, enabling it to recognize people, understand gestures, track attention, and respond naturally in real time.
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.
Intern - Software/ML Engineer Human Computer LabIntern - Software/ML EngineerSan Francisco, CaliforniaYou will work closely with the team to develop and deploy ML models, build real-time software systems, and integrate machine learning with robotic hardware — turning research and simulation into reliable, production-ready robotics software. Have experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.).
Senior Manager, Post-Silicon Bring-Up NvidiaSenior Manager, Post-Silicon Bring-UpSanta Clara, CALead the resolution of sophisticated post-silicon issues involving power, clocks, reset, boot, interfaces, performance, reliability, and coordination between hardware components and software systems, ensuring rapid root-cause analysis and effective cross-team closure. 12+ overall years of proven experience and 5+ years of management experience, including significant leadership in post-silicon bring-up, validation, debug, or productization for complex SoCs, GPUs, ASICs, or systems.
Research Scientist, AI Accelerator Design And Vlsi - New College Grad 2026 NvidiaResearch Scientist, AI Accelerator Design And Vlsi - New College Grad 2026Santa Clara, CANVIDIA Research is searching for a world-class new college grad PhD researcher to drive groundbreaking research at the intersection of AI HW/SW Co-Design, AI Hardware Accelerator Architecture, IC Design Methodology, and VLSI Design. Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts.
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.
Senior Deep Learning Performance Architect NvidiaSenior Deep Learning Performance ArchitectSanta Clara, CAWhat you will be doing: As a member of our deep learning architecture team, you will craft high performance energy efficient system and processor architectures to extend the state of the art in deep learning. Now, 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.
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.
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.
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.
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.
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 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 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.
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).
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.
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).