Senior Power Architecture and Optimization Engineer

3 Months ago • 3 Years + • Research & Development • $168,000 PA - $310,500 PA

Job Summary

Job Description

NVIDIA seeks a Senior Power Architecture and Optimization Engineer to analyze full-chip and unit-level power data, driving ASIC teams to improve power efficiency. Responsibilities include developing power analysis and reduction techniques for next-generation GPUs and Tegra SOCs; collaborating with architects, performance engineers, and design teams; using internal tools and industry-standard power analysis tools; performing comparative analysis to identify trends and anomalies; and prototyping new architectural features. The role requires expertise in power consumption, estimation, data movement, low-power design, and proficiency in Verilog and ASIC design principles. This position will leverage data-driven decision-making and AI to optimize power consumption.
Must have:
  • MS/PhD in related field
  • 3+ years experience
  • Power analysis expertise
  • Verilog & ASIC design knowledge
  • Strong coding skills (Python, Perl, C++)
  • Collaboration with design teams
Good to have:
  • Experience with Power Artist, PTPX
Perks:
  • Equity
  • Benefits

Job Details

We are now looking for a Senior Power Architecture and Optimization Engineer! NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success.

Our team is responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units’ power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of this team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.

What You'll Be Doing:

  • Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency.
  • Develop and share best practices for performing pre-silicon power analysis.
  • Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.
  • Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes.
  • Select and run a wide variety of workloads for power analysis.
  • Prototype a new architectural feature in Verilog and analyze power.
  • Automate flows, define new flows to fast-track Power anomaly detection.
  • Use AI to come up with Power optimization solutions.   

What We Need To See:

  • MS (or equivalent experience) with 3+ years of experience or PhD in related fields.
  • Strong understanding of concepts of energy consumption, estimation, data movement and low power design.
  • Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect).
  • Good verbal/written English and interpersonal skills; much collaboration with design teams is expected.
  • Strong coding/automation skills, preferably in Python, Perl, and C++.
  • Desire to bring data-driven decision-making and analytics to improve our products.

The base salary range is 168,000 USD - 310,500 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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