Senior Power and Performance Engineer

Senior Power and Performance Engineer

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We are seeking a highly skilled Senior Power and Performance Engineer to join our Silicon Co-design Group (SCG). As a member of our team, you will be responsible for architecting and integrating system-level performance and power management features, controllers, and policies to optimize product efficiency across datacenter and client products.

Key Responsibilities:

• 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 bring-up, validation, manufacturing, and customer escalations.

Requirements:

• 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 bring-up exposure are a bonus.
• Programming proficiency in C/C++, Python, or Perl in Windows/Linux environments.
• Strong problem-solving, collaboration, and communication skills.

What Sets You Apart:

• 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.

Benefits:

• Competitive salaries and a generous benefits package.
• Eligibility for equity.

How to Apply:

Applications for this job will be accepted at least until June 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.