
Pioneering accelerated computing and AI
Senior Product Development Engineer
NVIDIA continues to reinvent itself. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — a new chapter in computing. Are you passionate about working at the groundbreaking of technology? Make the choice to join us today. As part of the Operations NPI Product Development Engineering team, you will work on taking products from engineering concepts to high volume leading datacenter platforms deployed on a cloud scale.
What you'll be doing:
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Our team owns, develops and delivers the Manufacturing, Test, and Failure Analysis/recovery process for new datacenter servers and assemblies incorporating the latest NVIDIAs GPU, CPU, and high speed interconnect technologies. Your work will lead to the development of the product during the NPI phase and successful hand off and enablement of high volume production.
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Collaborate with a multi-functional group of HW/FW/SW engineering teams, manufacturing partners, and other operations groups such as program management and product quality engineering.
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Develop and implement comprehensive product development plans that will result in high quality products. Participate in Design for Manufacturing / Test (DFX) process and reviews. Provide DFX feedback that results in excellent product quality.
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Work closely with factory personnel and engineering teams during prototype/validation builds, driving solutions to day-to-day problems, collecting metrics and reporting status.
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Work with operations teams to define and implement process improvements, based on data collection and analysis.
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Reviewing build dashboards to analyze latest throughput, yields and failures.
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Debugging server platforms as per published guidelines. Performing minor rework, retesting and recovering units.
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Publishing clear daily status and build reports. Develop documentation and SOPs for product assembly, test, debug/failure analysis for internal teams, contract manufacturers or external customers.
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Collaborate with Contract Manufactures Failure Analysis, Test Engineers and Operators to ensure smooth running of factory assembly and test operations.
What we need to see:
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BS/MS or equivalent experience in Electrical Engineering and 12 + years of relevant work experience.
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Proven skills and experience in design and manufacture of complex compute or networking hardware platforms. CPU, GPU, HBM, PCIe expertise and comfortable writing Python code.
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Strong ability to diagnose and rationally solve problems on complex hardware platforms.
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Familiar with diagnostics/test software as used in a factory setting.
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Familiarity with Linux command line, running commands, reviewing outputs.
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Ability to review logfiles and make initial triage decisions based on documentation provided by the Engineering Team.
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Strong verbal and written communication skills, essential for collaborating with global matrixed teams and developing clear documentation and reports.
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A high-energy, proactive self-starter with a strong sense of ownership and accountability to drive critical tasks and projects through to completion.
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Ability to travel domestically and internationally, typically 2-3 times per quarter
Ways to stand out from the crowd:
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Strong EE fundamentals, knowledgeable in high speed digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.
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Prior board/system level electrical design experience.
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Working knowledge of AI based tools for improving efficiency and automating day today tasks.
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 unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, 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 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 26, 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
PublicA 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
최근 소식
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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