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Senior SoC Power Analysis Engineer

NVIDIA

Senior SoC Power Analysis Engineer

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Python

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 So Cs 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 equivalent experience

  • 8+ 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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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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NVIDIA 소개

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

직원 수

Santa Clara

본사 위치

$4.57T

기업 가치

리뷰

4.1

10개 리뷰

워라밸

3.5

보상

4.2

문화

4.3

커리어

4.5

경영진

4.0

75%

친구에게 추천

장점

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

단점

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

연봉 정보

73개 데이터

Junior/L3

Mid/L4

Junior/L3 · Analyst

7개 리포트

$170,275

총 연봉

기본급

$130,981

주식

-

보너스

-

$155,480

$234,166

면접 경험

7개 면접

난이도

3.1

/ 5

경험

긍정 0%

보통 86%

부정 14%

면접 과정

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

자주 나오는 질문

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR