NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
As one of the technology industry's most desirable employers, NVIDIA is an industry leader in high performance computing, gaming and AI. NVIDIA's GPUs are extraordinary in performance and efficiency, and we are continually innovating in creative ways to deliver outstanding solutions in a wide range of sectors. We are seeking Product Development Engineers who are experienced, creative problem solvers in various areas and passionate to want to make a visible impact with the work they do. As part of the Operations Product Development Engineering GPU Team, you will work on productizing NVIDIA’s chips into consumer, professional and datacenter markets.
What You’ll Be Doing:
Responsible for Silicon and Package qualification for all gaming and datacenter products collaborating with Reliability team.
Collaborate with Test and DFx engineering team to define & validate test program content, and conditions to measure silicon degradation.
Responsible to drive failure analysis on all qualification failures collaborating with cross-functional teams to root causes failures.
Analyze data and failures to identify areas for improvement.
Work closely with qualification lead to ensure timelines are met, risks are highlighted, and priorities are aligned.
What We Need To See:
BS degree in electrical engineering or equivalent experience.
5+ years of work experience.
Knowledge of structural testing.
Background with wafer sort or final package or qualification test programs for SoCs or GPUs
Experience with product verification and failure analysis on Verigy 93K tester. Experience with SMT8 in a plus.
Excellent analytical skills to effectively diagnose and resolve issues. Experience with RMA closure and DPPM reduction is a plus.
Proficient in statistical modelling of data using JMP software or other tools for data analysis.
Solid communication and presentation skills.
Ways To Stand Out From Crowd:
Knowledge of failure analysis techniques.
A 'got-getter, can get it done' attitude and independent ‘out-of-box’ thinking’.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking, resilient, and hardworking people in the world. If you are learner, creative and collaborative, 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 136,000 USD - 212,750 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- BS degree in electrical engineering or equivalent experience
- 5+ years of work experience
- Knowledge of structural testing
- Background with wafer sort, final package, or qualification test programs for SoCs or GPUs
- Experience with product verification and failure analysis on Verigy 93K tester
- Experience with SMT8
- Excellent analytical skills to diagnose and resolve issues
- Experience with RMA closure and DPPM reduction
- Proficient in statistical modeling of data using JMP or similar tools
- Solid communication and presentation skills
- Knowledge of failure analysis techniques
- Self-starting, independent problem-solving attitude
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
