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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Senior GPU Architect

직무엔지니어링
경력시니어급
위치United States, India
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

Python

NVIDIA’s GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and monitoring tools to capture data and provide feedback for performance optimization. As a member of our team, you will need to combine skills in hardware modeling and verification with a deep understanding of GPU architecture, operating systems, and application performance analysis to innovate new methods of hardware profiling that yield more meaningful and accessible performance insights. You will have a tangible impact at a fast-paced company that is spearheading the AI revolution. Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance!

What you’ll be doing:

  • Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features.

  • Build functional and performance models to refine and verify hardware designs.

  • Create test plans to validate the features you design and contribute to their implementation.

  • Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack.

What we need to see:

  • Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience.

  • 3+ years of relevant computer architecture, ASIC design/verification, or software development experience.

  • Strong programming skills in C++ (or similar) and Python (or similar).

  • Solid foundation in computer architecture and hardware performance analysis.

  • Experience with performance modeling and hardware simulation, ideally using SystemC.

  • Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team.

Ways to stand out from the crowd:

  • Expertise in developing and optimizing parallel algorithms, particularly using GPUs.

  • Extensive experience as a user or developer of CPU or GPU profiling tools.

  • Background with AI and/or high-performance computing applications

  • Experience contributing to and debugging large codebases with many developers.

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 13, 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

10개 리뷰

4.4

10개 리뷰

워라밸

2.8

보상

4.5

문화

4.2

커리어

4.3

경영진

3.8

78%

지인 추천률

장점

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

단점

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

연봉 정보

79개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7개 리포트

$170,275

총 연봉

기본급

$130,981

주식

-

보너스

-

$155,480

$234,166

면접 후기

후기 5개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience