Senior System Integration and Feature Validation Engineer
Quick Summary
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,
BTech / BE or MTech / ME in Electronics, Electrical, or Computer Engineering along with over 5 years of experience in p
NVIDIA pioneered graphics and is now the global AI leader, delivering breakthrough performance and efficiency across every important industry. As an NVIDIAN, you will tackle problems that lie between architecture, silicon, firmware, software, and production. Your judgment in ambiguous, cross-team feature integration determines whether a program ships on schedule.
NVIDIA’s Silicon Co-Design Group is looking for a flexible hardware engineer to join its System Features and System Integration teams. Our responsibilities 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:
Responsibilities
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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.
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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.
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Experience partnering deeply with a counterpart team in another major engineering hub — shared on-call, shared metrics, and shared culture across geographies.
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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
Location & Eligibility
About this job
- Who can apply
- India
- Posted
- 20 days ago
Listing Details
- Posted
- September 30, 2026
- First seen
- October 18, 2026
- Last seen
- October 19, 2026
Posting Health
- Days active
- 1
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- October 20, 2026
Signal breakdown
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