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10,693 open listings · Page 425 of 428
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
NVIDIA
Full-time · Santa Clara, CA · $168,000 – $310,500
NVIDIA seeks a senior-level verification engineer to develop comprehensive testplans and UVM-based infrastructure for GPU and SoC display engines used across consumer, automotive, and AI products. This role suits experienced hardware verification engineers with deep expertise in display protocols and system-level design who thrive on collaborating across global teams to deliver silicon-proven solutions.
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NVIDIA
Santa Clara, CA · $140,000 – $270,250
NVIDIA is seeking a senior-level QA engineer to develop and execute comprehensive test plans for their Cumulus Linux Ethernet switching systems, focusing on automated testing of Layer 2 and Layer 3 network protocols. This role suits experienced test engineers with strong Python skills and hands-on knowledge of networking protocols and test automation tools.
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NVIDIA
Santa Clara, CA · $184,000 – $287,500
Senior role leading hardware pathfinding for NVIDIA's next-generation language processing units, working across electrical, mechanical, thermal, and interconnect design to advance AI platform architecture. Suits experienced hardware systems engineers who have driven platform development through multiple technology domains and can collaborate across silicon, data center, and manufacturing teams.
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NVIDIA
Santa Clara, CA · $184,000 – $287,500
NVIDIA seeks a memory systems architect to develop and optimize DDR, LPDDR, and HBM technologies for next-generation processors and system-on-chips. This role suits experienced hardware engineers comfortable collaborating across ASIC design, firmware, and supplier partnerships to deliver high-performance, low-power memory solutions.
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NVIDIA
Santa Clara, CA · $248,000 – $391,000
A Principal Engineer role leading three interconnected enterprise platforms focused on sensitive information protection, data governance, and AI knowledge management at NVIDIA. This is for a strong technologist ready to grow into engineering leadership while influencing cross-functional stakeholders across Security, Legal, Finance, and AI teams.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $218,500
NVIDIA seeks a senior engineer to develop behavioral models and verification for custom mixed-signal design cells used across their GPU and ASIC products, using hardware description languages and scripting to ensure performance and power efficiency. This role bridges circuit and digital design, requiring hands-on RTL simulation expertise and collaboration with cross-functional teams.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $218,500
NVIDIA's Clocks group seeks a software engineer to design and develop tools for RTL generation across GPU products, improving algorithms for automated connectivity and Verilog processing. This role suits someone comfortable bridging software and hardware domains, with strong C++ skills and ASIC design knowledge.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $264,500
NVIDIA seeks a verification engineer to develop testbenches and test plans for memory subsystem IP used across graphics, autonomous vehicles, HPC, and AI platforms. The role involves working with design teams to ensure functional correctness and performance, with exposure to post-silicon verification.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $264,500
NVIDIA is seeking a Senior SOC Design Engineer to lead the integration of complex IP blocks and develop methodologies for building next-generation GPUs and system-on-chips. This role suits experienced chip designers who thrive on automation, cross-team collaboration, and solving large-scale integration challenges at the front-end of silicon design.
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NVIDIA
Full-time · Santa Clara, CA · $152,000 – $287,500
Optimize performance of NVIDIA's RTX and DGX chips for AI agent applications, working with partners and OSS projects to accelerate real-world workflows. This role suits experienced software engineers who excel at profiling, debugging, and performance tuning across CPU and GPU workloads.
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NVIDIA
Santa Clara, CA · $184,000 – $287,500
NVIDIA is seeking a senior engineer to work on the CUDA driver and runtime, optimizing performance across GPU compute platforms used in deep learning, scientific computing, and graphics. This role suits someone with strong low-level systems expertise who can solve complex performance problems across the full software and hardware stack.
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NVIDIA
Full-time · $152,000 – $241,500
NVIDIA is hiring an engineer to design and build the benchmarking systems, metrics, and evaluation infrastructure that measure progress in their AI security research program. This role suits someone with deep ML evaluation experience who wants to establish rigorous measurement practices as the core truth-telling mechanism for a high-impact security initiative.
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NVIDIA
$320,000 – $488,750
NVIDIA is building a new AI Safety & Security Engineering team and needs a founding technical leader to architect their core systems for discovering and patching vulnerabilities in AI models. This role suits a senior engineer with deep distributed systems expertise who can bridge research and production while mentoring a new team.
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NVIDIA
Full-time · $272,000 – $431,250
NVIDIA is seeking a Senior Manager to build and lead their new AI Safety & Security Engineering team from the ground up, overseeing engineers across vulnerability detection, validation, and patching. This role suits experienced engineering leaders comfortable defining a young program's direction while balancing technical depth in ML systems and security with the people leadership needed to hire and grow a founding team.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $264,500
Design and optimize voltage noise and power delivery across chip, package, and board for next-generation silicon, working across multiple teams to translate product targets into shipped specifications and drive show-stopper issues to closure.
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NVIDIA
$136,000 – $264,500
This role develops the software infrastructure and design methodologies that enable NVIDIA's package engineers to design the complex multi-chip packages at the heart of modern AI accelerators. You'll build EDA tools and automation flows that solve problems no commercial software handles yet, directly unblocking NVIDIA's ability to manufacture cutting-edge products at scale.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $264,500
This role owns silicon speed characterization and validation for NVIDIA's AI processors, from first power-on through production. You'll close the gap between pre-silicon predictions and measured silicon performance, trace frequency failures to their root cause, build AI-driven test automation, and provide the data that settles architectural tradeoffs across the company.
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NVIDIA
2 locations · $116,000 – $189,750
This role involves designing and validating clocking and reset logic for NVIDIA's processors across data centers, graphics, autonomous vehicles, and AI platforms. You'll own verification from test planning through productization, working with industry-standard tools and advanced methodologies to ensure bug-free designs at scale.
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NVIDIA
$152,000 – $287,500
This role involves building cloud-native storage systems and frameworks that enable AI workloads to access data efficiently across hybrid and multi-cloud infrastructure. It suits experienced software engineers who want to solve large-scale data infrastructure challenges at the foundation of AI systems.
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NVIDIA
$224,000 – $356,500
This role leads performance analysis and optimization of large-scale AI systems running on NVIDIA's DGX Cloud infrastructure, partnering with engineering teams to diagnose bottlenecks and drive efficiency improvements across compute, networking, and storage. It suits someone with deep systems knowledge who enjoys turning complex performance data into concrete engineering decisions.
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NVIDIA
Full-time · 2 locations · $168,000 – $310,500
Design and optimize power and thermal management systems that control GPU and CPU performance within safe operating limits, working across firmware, hardware, and software teams to deliver products from prototype through production. This role suits engineers experienced in silicon bring-up and system-level power optimization who can translate complex thermal and performance trade-offs into actionable decisions for leadership.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $264,500
This role bridges design and validation for high-performance chip architectures across gaming, datacenters, and automotive platforms. You'll own the verification strategy for speed features, build automation infrastructure to test and debug them, and work cross-functionally to ship products on schedule while applying modern tools like AI to compress cycle time.
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NVIDIA
Full-time · Santa Clara, CA · $136,000 – $218,500
This role owns the validation and bring-up of NVIDIA's next-generation silicon from first power-on through production release, building the test infrastructure, automation, and methodologies that catch hardware-software integration issues before they reach customers. It suits experienced hardware engineers who thrive at the boundary between architecture and reality, combining deep technical fundamentals with the ability to redesign team workflows and deploy AI-assisted tooling to accelerate silicon validation.
NVIDIA
Full-time · Santa Clara, CA · $168,000 – $310,500
This role owns the design-for-manufacturing and test validation strategy for complex silicon products like GPUs and SoCs in high-volume production, translating product requirements into manufacturing test plans that balance quality, yield, and cost. It suits experienced silicon validation engineers who can drive multi-functional alignment on testability, lead yield analysis, and use AI to accelerate testing methodologies and debug workflows.
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NVIDIA
Full-time · Santa Clara, CA · $168,000 – $310,500
NVIDIA seeks an experienced engineer to design and implement validation strategies, telemetry infrastructure, and AI-assisted tools for low-power silicon features across next-generation AI accelerators. The role bridges silicon architecture, firmware, and platform validation to improve power efficiency and production readiness at scale.
Listed on NVIDIA’s careers site · Apply there ↗