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채용NVIDIA

Quality and Manufacturing Engineer

NVIDIA

Quality and Manufacturing Engineer

NVIDIA

China, Shanghai

·

On-site

·

Full-time

·

3w ago

필수 스킬

Python

Linux

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA’s Silicon Co-Design Group (SCG) team is seeking a versatile engineer to be part of a Silicon Hardware team. You will partner with silicon validation teams to capture, interpret, and refine bring‑up platform requirements, then drive alignment and reviews with the platform design team. In this role, you will shape validation platforms that support product lines spanning artificial intelligence, consumer graphics, self‑driving cars, and other cutting‑edge technologies.

What you will be doing:

  • Based on understanding a product feature, determine the best manufacturing stage for testing GPU/CPU hardware features. This could be ATE, socketed or board-level system test, rack-level test, or pod/cluster-level test, as needed.

  • Create new tests or test conditions based on an understanding of hardware features or learnings from customer returns or gaps in internal manufacturing stages.

  • Perform or automate test runs, analyze and visualize data to ensure a high-quality test, and guide debug for yield or escape issues.

  • Partner with test engineering and operations teams to implementing efficient manufacturable test solutions

What we need to see:

  • MS with 3+ years or equivalent experience in Electrical Engineering (EE), Computer Engineering (CE), Computer Science (CS), Systems Engineering, or a related field

  • Rich experience at manufacturing and production test of chips, boards and systems.

  • Background in creating new system tests or test conditions and good skills in Linux, Python, and Perl.

  • Experience working with GPU/CPU system features and crafting test strategies.

  • Deep understanding of product binning methods, optimization techniques, methods, trade-off analysis and tools for data analysis and statistics.

  • Excellent problem solving, collaborative and interpersonal skills

Ways to stand out from the crowd:

  • Background in rack-level test development

  • Experience in Post-Silicon validation, SW&HW feature development

Our team is at the forefront of innovation in silicon solutions, contributing to the development of groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are 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, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

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총 지원 클릭 수

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모의 지원자 수

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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