Top Tech Jobs & Startup Jobs

Verify processor and accelerator designs using formal methods: write assumptions, assertions, and cover properties; debug counterexamples and RTL issues; use abstraction, modeling, and scripting to improve proofs; communicate verification progress, coverage, risks, and findings while collaborating with architects and RTL designers.

Develop and implement compiler optimization algorithms for deep learning workloads, analyze networks, debug and profile GPU performance (CUDA), define public APIs, and deliver ahead-of-time and just-in-time compilation techniques for NVIDIA GPUs to improve inference performance, build times, and memory efficiency.

Perform die-level logic fault localization using physical and electrical FA and ATE (Advantest 93K). Apply LFI techniques (LVP, EMMI, SDL, OBIRCH), interpret DFT patterns (Scan, BIST, boundary scan), identify root causes, and lead cross-functional efforts with Design, Test, and Foundry teams to improve yield and reliability.

Lead board and system-level hardware reliability across NVIDIA product lines. Set reliability strategy, run global labs and multidisciplinary teams, drive DfR/DfX, develop testing and modeling methods, influence design and supply-chain decisions, and deliver data-driven risk assessments and mitigation.

Lead research and design of RDMA-based transport protocols for large-scale AI systems. Architect frameworks for programmable networking devices, build prototypes and simulations, provide system-level guidance to customers, and collaborate across teams to co-design the software and hardware stack for high-performance distributed GPU workloads.

Lead PCB layout for high-speed, high-density PCBs across NVIDIA product lines. Perform component placement, constraints and topology management, address signal and power integrity, ensure EMI/RFI and regulatory compliance, generate artwork/ODB++ and PCB documentation, collaborate with product engineers, and troubleshoot complex design issues.

Translate cutting-edge agent research into secure, production-grade runtime systems: prototype, benchmark, reproduce methods, build agent harnesses and evaluation/red-team workflows, secure agent toolchains, and partner across research, product, and engineering to integrate features into OpenShell.

Lead development and management of manufacturing test solutions for datacenter systems. Partner with hardware and software teams to deploy and maintain rack-level testers, oversee test facility design (air and liquid cooling), drive failure analysis and repairs, manage KPIs, plan upgrades, and develop test strategies, fixtures, and diagnostics.

Lead memory supplier quality initiatives, collaborate with suppliers and cross-functional teams, manage failure analysis and PCNs, conduct supplier audits, use data analytics to monitor trends, drive corrective actions and continuous improvement to ensure memory product quality and reliability.

Lead co-design and build of production agentic and Generative AI systems with strategic ISV partners. Define objectives, prototype and ship RAG, multi-agent, long-horizon workflows on NVIDIA's stack, drive adoption, collaborate with Product/Engineering/Research, and influence product roadmaps. Ensure production inference, evaluation, observability, and enterprise deployment (MLOps/Kubernetes/Docker) with strong technical execution and partner-facing leadership.