Full-time Jobs in Santa Clara, California, United States

NVIDIA leads in AI, HPC and visualization. The GPU is the visual cortex of modern computers.

NVIDIA’s Deep Learning Frameworks CUDA team builds next‑generation GPU‑accelerated AI stacks, integrating CUDA features into PyTorch, TRT‑LLM, vLLM, and JAX. The role drives performance analysis, runtime abstraction, and fault‑tolerant multi‑GPU solutions for training and inference at scale. Based in Santa Clara with hybrid onsite/remote options, the engineer collaborates across time zones to shape CUDA’s roadmap and deliver open‑source tools.

Applied Materials seeks a Senior Director, Business Development & Strategic Partnerships to own the equipment peer partnership portfolio end to end. The role identifies, structures, executes, and monetizes partnerships and Joint Development Agreements (JDAs) with equipment peers, OEMs, and ecosystem partners, partnering with the Technology Pathfinding team to convert emerging technology directions into structured business and technology agreements that drive measurable revenue growth.

Field Application Engineering team at NVIDIA drives rack-scale AI system integration through ODM and manufacturing partners. The manager leads a team of FAEs delivering technical support for partner integration, validation, launch readiness, and production ramp, coordinating with account, program, architecture, and engineering groups.

NVIDIA Semiconductor Test Engineering team develops qualification tests for ESD and latch-up on GPU and Tegra products. The role plans and performs ESD/latch-up qualification, creates stress programs per JEDEC/AEC, collaborates with vendors on test fixtures, conducts characterization, provides status updates, debugs failures, maintains test equipment, and updates internal databases.

VLSI team at NVIDIA focuses on cutting‑edge CPU silicon development. The Senior Implementation Methodology Engineer owns and continuously improves the RTL2GDS implementation methodology, leads aggressive PPA optimization campaigns, builds automation frameworks, and applies AI/ML‑assisted flow optimization to boost engineering throughput.

NVIDIA is redefining the automotive industry through accelerated computing, artificial intelligence, simulation, and full-stack autonomous vehicle development. The pace and quality of AV development depend on delivering the right sensor, ground-truth, and derived data to machine learning teams reliably, transparently, and at scale.

Applied Materials Mechanical Engineering team designs cutting‑edge equipment for semiconductor and display manufacturing. The Mechanical Engineer leads design of custom tooling, oversees manufacturing and installation, defines technology roadmaps, and drives supplier development for vapor and fluid delivery systems.

Senior Applications Engineer at OmniVision Technologies responsible for sensor verification, image quality evaluation, and customer support for image sensor applications. Works closely with design team to validate new sensor functions, create datasheets, application notes, and reference designs.

Corporate Controller organization, Global Finance Policy, Corporate Accounting & Training team at Applied Materials. The team develops and governs global finance policies, provides technical accounting guidance, and drives finance training and transformation initiatives.

Data Science team at Amazon builds data-driven solutions to optimize product performance and guide decision making. The Data Scientist III owns end‑to‑end data science projects, from translating business problems into metrics, designing models, and delivering insights to product and technical managers.

DST at Applied Materials builds and qualifies non-system components for semiconductor and display equipment. The Engineer I supports qualification of optics, electronics, motion, and SEM parts, documents build procedures, and ensures compliance with R&D plans.

MSR-FSR US Logistics team ensures silicon wafer inventory accuracy and timely shipment. The role performs cycle counts, quality checks, and sorting jobs, maintaining data and metrics while collaborating with shipping and receiving stations.

The clocks group is looking for a top-notch ASIC engineer to join the team. The Team is responsible for crafting all aspects of GPU and CPU clocking.

IP Infusion US Inc. – Senior Product Manager leads strategic marketing for the Data Center product line, shaping market research, competitive analysis, pricing and business planning. The role partners with the Technical Product Line Manager, Sales and Systems Engineers to define features, gather customer feedback, and resolve support issues while forecasting revenue for a $10M+ portfolio.

Silicon Co-design Group at NVIDIA builds and leads global hardware farm infrastructure for silicon validation. The Senior Hardware Test Engineer oversees the GPU, SoC, and CPU farm, debugging hardware and software, authoring regression scripts, and coordinating global teams to ensure system availability.

AWS Neuron Science Team focuses on advancing high‑performance machine learning inference on custom silicon. The Applied Scientist designs, implements, and evaluates novel algorithms and optimizations to improve model throughput and latency on AWS Neuron‑enabled hardware.

GPU Design team at Nvidia builds cutting‑edge SoCs and GPUs that power everything from consumer graphics to self‑driving cars and AI workloads. As an ASIC Design Engineer you will craft micro‑architecture, develop RTL in Verilog, verify and deliver power‑efficient designs while collaborating with architects and verification teams.

Hardware & Silicon Validation team at Marvell builds post‑silicon validation solutions for SSD chipsets, ensuring robust storage SoC performance. The Senior Staff Engineer designs and executes validation tests, develops bare‑metal firmware, creates test frameworks, and collaborates with test engineers and field application engineers.