Senior Power and Performance Engineer

NVIDIA NVIDIA · Semiconductors · Shanghai, China

This role focuses on optimizing power and performance for NVIDIA's datacenter and client products by architecting and integrating system-level features and policies. While not directly building AI models, the role heavily leverages AI/ML techniques for performance prediction, power management, data analysis, and automation, indicating an AI-adjacent function within an enterprise AI domain.

What you'd actually do

  1. Architect and integrate system-level performance and power management features, controllers, and policies to optimize product efficiency across datacenter and client products.
  2. 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.
  3. Partner with architecture, ASIC, board/platform, software/firmware, and marketing teams to drive design decisions and debug complex issues.
  4. Track industry trends and market needs and translate them into forward-looking roadmaps that keep NVIDIA's products ahead of the curve.
  5. Lead debug efforts, develop workarounds, and support bringup, validation, manufacturing, and customer escalations.

Skills

Required

  • BS pr MS in EE/CE (or equivalent experience)
  • 8+ years of experience with a strong focus of performance and power management
  • 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
  • Programming proficiency in C/C++, Python, or Perl in Windows/Linux environments
  • Strong problem-solving, collaboration, and communication skills

Nice to have

  • Hands-on lab experience (oscilloscopes, multimeters, logic analyzers)
  • silicon bringup exposure
  • Demonstrated cross-functional leadership
  • System-level intuition
  • Published research or patents in power management or related fields
  • Experience with modeling and simulation tools for performance validation at scale
  • familiarity with the latest advancements in AI and their applications in power and performance optimization
  • Contributions to open-source projects or communities in low-power design methodologies

What the JD emphasized

  • 8+ years of experience with a strong focus of performance and power management on one or two of below 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.
  • Solid understanding of firmware/driver structures and HW/SW interaction with different IPs, including their impact on power, latency, and reliability.
  • 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.