We are calibrating for candidates who can carry ambiguous product-level power and performance problems from concept through silicon correlation to release trade-off, and who can show the work!
- BS or MS in EE/CE, or equivalent experience proven through the work itself
- 15+ years of system architecture, development, and validation experience with a strong focus on power and performance-per-watt optimization in datacenter or high-performance platforms.
- A verifiable history of guiding architecture decisions that shipped across multiple silicon programs. Be ready to walk through a case where you challenged a roadmap direction, explain your reasoning from first principles, and describe what changed.
- Extensive knowledge of HSIO power management, DVFS, P-states, system boot flows, and low-power entry/exit architecture, including how they interact with IP, firmware, and platform layers. The expectation is not pattern-matching to prior solutions; it is knowing why the design space is built the way it is.
- Strong fundamentals in low-power design, power management techniques, and rack-level performance architecture.
Ways to stand out from the crowd
We are not looking for breadth of exposure. We are looking for depth of ownership in areas where the design space is hard, and the artifacts prove it!
- Practical, hands-on depth in at least two of the following: Preference is given to candidates who have debugged these features in silicon and then architected the next-generation solution in any of the two areas: system power management, robust boot flow optimizations, HSIO, and memory power management.
- A power management architecture or methodology you introduced that survived multiple silicon generations and was adopted beyond your immediate team. We want to understand the original problem, why prior approaches failed, how you structured the solution, and what the adoption path looked like.
- A demonstrated AI/agentic workflow practice: Not just tool use, but a disciplined approach to compressing engineering velocity with AI while applying strong judgment to validate and refine results. Be prepared to describe where you've found AI dangerous, not just useful.
- Visible technical leadership through patents, publications, conference presentations, standards participation, or broader industry recognition for work that influenced products, roadmaps, or engineering practice.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 232,000 USD – 368,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
