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Senior Power and Performance Engineer

NVIDIA· Engineer, ASIC
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ShanghaiPosted 4mo ago

About the role

Senior role in NVIDIA's Silicon Co-design Group focusing on system-level power and performance management for datacenter and client products, with AI-driven optimization and cross-functional collaboration.

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 bringup, validation, manufacturing, and customer escalations.
  • Utilize AI-driven techniques to enhance performance prediction models and power management strategies.

Qualifications

  • BS pr MS in EE/CE (or equivalent experience).
  • 8+ years of experience with a strong focus of performance and power management on one or two areas that optimize power for perf-per-watt efficiency in datacenter or client systems: DVFS, power gating, clock policy, sequencing, throttling, control systems, boot/reset.
  • Strong EE fundamentals on digital design, low power design, DVFS, control systems, power management techniques, timing, and architecture.
  • Knowledge of PVT dependencies, binning methodologies, and VF characterization.
  • Solid understanding of firmware/driver structures and HW/SW interaction with different IPs, including their impact on power, latency, and reliability.
  • Hands-on lab experience (oscilloscopes, multimeters, logic analyzers) and silicon bringup exposure is a bonus.
  • Programming proficiency in C/C++, Python, or Perl in Windows/Linux environments.
  • Strong problem-solving, collaboration, and communication skills.
  • Leverage AI to perform advanced optimization accelerate analysis, workflows, generate and review scripts, synthesize technical documentation, and explore solution spaces faster.
  • Utilize machine learning algorithms to predict power consumption and performance based on workload characteristics.
  • Implement AI-driven tools for automating data collection and analysis during validation and characterization phases.
  • Explore creative ways to integrate AI insights into continuous improvement of power and performance metrics.

Skills

Required:System-level power managementDVFSPower gatingClock policy and sequencingFirmware/driver understandingProgrammingCollaboration and communication
Nice to have:Lab techniquesAI/ML for optimization
Last updated Jun 26, 2026. Interested? Apply on the company site.

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