Top Tech Jobs & Startup Jobs

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.

Design, develop, and verify next-generation GPU driver and embedded software features. Diagnose and resolve performance bottlenecks for datacenter and gaming workloads. Collaborate with global hardware and software teams to deliver scalable, reliable GPU system-level solutions.

Design and analyze compensation programs, build analytic models and dashboards, automate reporting, support Workday compensation modules, conduct global market benchmarking, and communicate data-driven recommendations to stakeholders.

Architect and develop system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Design BSP, boot, drivers, I/O virtualization, and platform software for NVIDIA SoCs. Build safe, secure mixed-criticality systems compliant with ISO 26262/21434, employ formal methods and AI-assisted engineering tools, and optimize platform performance and diagnostics.

Design and evaluate routing policies for LLM traffic, build and run agentic benchmarks, produce calibration data and routing profiles, contribute code and docs to open-source, and collaborate across engineering teams to integrate optimized inference software into NVIDIA's serving stack.