Senior SoC Power Analysis Engineer

3 Months ago • 10 Years + • Research & Development • $184,000 PA - $356,500 PA

Job Summary

Job Description

NVIDIA seeks a Senior SoC Power Analysis Engineer to analyze and optimize silicon power and performance across constraints for SoCs used in diverse applications (data centers, driving, robotics, etc.). Responsibilities involve collaborating with various teams (HW, SW, Platform, etc.), guiding teams on Perf/Watt improvements, creating power models for SoC units, and evaluating architectural tradeoffs for different workloads (DL/ML, CPU, GPU, multimedia). The ideal candidate will possess strong technical expertise, teamwork skills, and a continuous learning mindset.
Must have:
  • Master's or Bachelor's in Computer/Electrical Engineering
  • 10+ years experience in computer architecture and SoC power analysis
  • Understanding of HW, SW, system, and product-level power efficiency
  • Strong HW-SW interaction understanding for various use cases
  • Excellent teamwork and communication skills
Good to have:
  • Experience with power/performance modeling and optimization
  • Python scripting and SW programming
  • Experience prototyping power optimization ideas on silicon
Perks:
  • Equity
  • Benefits

Job Details

We are now looking for a Senior SoC Power Analysis Engineer!

NVIDIA is seeking an exceptional silicon power analysis and optimization engineer to help us build power-efficient and performance-leading SOC's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars, to the growing field of artificial intelligence. We have built a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you'll be doing:

  • Analyzing and optimizing Silicon power and performance across technical, product, and usage constraints for Nvidia SoCs used in data center, driving, robotics, multimedia, edge computing, and other embedded applications.

  • Working with teams throughout the company (HW, SW, Platform, Thermal, Operations, Marketing, etc...) to deliver outstanding power solutions.

  • Guiding HW, SW and Platform teams in evaluating and improving Perf/Watt and battery life of their implementations.

  • Creating power models of key SoC units to evaluate architectural tradeoffs in DL/ML (training/inference), CPU, GPU, and multimedia workloads.

What we need to see:

  • A Master’s degree in Computer Engineering or Electrical Engineering or a Bachelor’s degree (or equivalent experience)

  • 10+ years of additional relevant work experience focused on computer architecture and SOC power-perf analysis and optimization.

  • Understanding of the many factors influencing power efficiency at HW, SW, system, and product levels.

  • Good understanding of HW-SW interactions for Deep learning, Multimedia, or Productivity use cases

  • Strong interpersonal and teamwork skills.

  • A drive to continuously learn and expand architectural breadth and depth.

Ways to stand out from the crowd:

  • Experience with modeling and optimization of power and/or performance.

  • Python scripting and SW programming

  • Experience with prototyping power-optimization ideas on silicon

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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