Senior Power and Performance Engineer
Role details
Job location
Tech stack
Job description
- Architect and integrate system-level performance and power management features, controllers, and policies to optimize product efficiency across datacenter and client products.
- Build feature roadmaps to address low-power, low-noise, and performance-per-watt product needs through prototyping, use-case analysis, and cost/benefit trade-offs.
- Partner with architecture, ASIC, board/platform, software/firmware, and marketing teams to drive design decisions and debug complex issues.
- Track industry trends and market needs and translate them into forward-looking roadmaps that keep NVIDIA's products ahead of the curve.
- Lead debug efforts, develop workarounds, and support bringup, validation, manufacturing, and customer escalations.
Requirements
Do you have experience in System performance optimization?, * BS or MS in EE/CE (or equivalent experience) with 8+ years in silicon power architecture, system-level design, validation, and power/performance optimization.
- Strong EE fundamentals: digital design, low power design, DVFS, control systems, power management, timing, and architecture.
- Solid understanding of firmware/driver structures and HW/SW interaction.
- Familiarity with clocking, boot/reset flows, and system architecture is a plus.
- Hands-on lab experience (oscilloscopes, multimeters, logic analyzers) and silicon bringup exposure are a bonus.
- Programming proficiency in C/C++, Python, or Perl in Windows/Linux environments.
- Strong problem-solving, collaboration, and communication skills.
Ways to Stand Out in a Crowd:
- Demonstrated cross-functional leadership - experience driving alignment across architecture, silicon, firmware, and software teams on complex, ambiguous problems.
- System-level intuition - the ability to reason about power and performance holistically, not just at the block level, and to translate architectural tradeoffs into clear engineering decisions.
- AI-assisted engineering fluency - comfort using AI tools (such as Claude, GitHub Copilot, or similar) to accelerate analysis, workflows, generate and review scripts, synthesize technical documentation, and explore solution spaces faster. Candidates who treat AI as a force multiplier for their engineering judgment - rather than a replacement for it - will be well-positioned for how NVIDIA's teams are evolving.
Benefits & conditions
4.24.2 out of 5 stars 2788 San Tomas Expressway, Santa Clara, CA 95051 Hybrid work $168,000 - $310,500 a year - Full-time, Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.
You will also be eligible for equity and benefits.