Senior System Integration and Feature Validation Engineer

What You'll Do

• cover everything from architecture to bring-up and release.
• We focus on feature integration, debugging, validation, and productization for all NVIDIA GPU, CPU, Client and SoC products.
• Small decisions in feature integration significantly affect boot, clocks, DVFS, system controllers, pstates, circuits, and all areas where hardware and software meet.
• This role is not about checklist compliance or feature sign-off.
• Instead, it is where multi-team feature failures are either root-caused and resolved or cause program delays.
• The two most critical challenges in this position are: What you will be doing : End to End responsibility for the integration and product development of system features across — boot, clocks, DVFS, performance and power system controllers, and certain circuits.
• Lead debugging and root-cause resolution on the most challenging cross-stack feature issues covering silicon, firmware, driver, and platform — delivering productized fixes and reusable workarounds.
• Build and deploy AI-enabled workflows for feature validation, debug, and triage — with explicit guardrails and measurable impact on cycle time, coverage, or escape rate.
• Support silicon bring-up, feature deployment, and GPU/SoC qualification through feature checks, PVT stress and stability testing, and lab debug.
• Build the tools, scripts, and infrastructure the team relies on — and improve validation and productization processes for greater quality and efficiency.
• Partner with globally distributed teams — architecture, ASIC, firmware, driver, software, and multiple bring-up teams.
• What we need to see : BTech / BE or MTech / ME in Electronics, Electrical, or Computer Engineering along with over 5 years of experience in post-silicon bring-up, system integration, or feature design and validation for released GPU, CPU, or SoC products.
• At least once, you should have diagnosed a vague, cross-team feature failure and delivered a finalized fix.
• Strong end-to-end understanding of hardware, firmware, and software interaction — with fundamentals in board and system development, DVFS, control loops, SI/PI, timing, clocking, high-speed I/O, PVT, and thermal — and hands-on silicon, board, and lab-debug muscle memory.
• Practical understanding of GPU, CPU, or SoC architectures within at least one of PC, datacenter, or automotive environments — proven experience leading efforts to address unclear issues spanning multiple teams.
• Proven validation approach using smart AI technology you designed or scaled, not only used — with adoption beyond yourself and measurable impact on debug velocity, coverage, or escape rate.
• You can detail the limits you set and where smart AI tools may introduce hazards in your workflow.
• Ways to stand out from the crowd: A history of building reusable feature-integration methodology, debug playbooks, or validation frameworks that other programs or teams adopted.
• These are backed by patents, conference papers, or talks where you were encouraged to present.
• Practical subsystem expertise in DVFS, boot / clock / reset, power management controllers, high-speed I/O, or thermal — including failure modes, debug instrumentation, and the compromises encountered during production.
• Experience partnering deeply with a counterpart team in another major engineering hub — shared on-call, shared metrics, and shared culture across geographies.
• AI work that goes beyond personal-copilot uses agentic workflows, RAG-grounded debug assistants, machine learning-based anomaly detection, or automated triage — deployed at team scope with adoption metrics.
• NVIDIA is the world leader in accelerated computing, and our work powers AI, gaming, robotics, autonomous systems, and scientific discovery.
• We invest in our people with competitive benefits, flexible time off, and continuous learning, and we build a team where everyone can do their best work.
• Come help us build the features that make NVIDIA silicon the reason customers ship on time! #LI-Hybrid