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:
As an integral part of product engineering, you will drive our latest architecture designs to market.
Pioneer modern ATE test methodologies for next-generation GPU circuits, advanced silicon technologies, and innovative assembly processes -- partner directly with feature designers to build success criteria that drive product excellence from concept to silicon.
Identify and resolve yield bottlenecks, analyze and drive test failures, wafer & package level failures on Automatic Test Equipment (ATE).
Propose DOEs and come up with solutions to complex characterization problems.
Multi-functionally lead efforts to build solutions with foundry, DFT, test, Planning and quality to root-cause and solve technical problems.
Play a pivotal role in influencing next-generation ASIC designs and silicon solutions—improving circuit quality and testability at the architecture level to accelerate qualification, cut test times, and deliver faster, smoother silicon releases.
What We Need To See:
Bachelor or Master's degree in Electrical Engineering or equivalent experience.
5+ years of Product development engineering or relevant experience.
Attention to details, strong problem solving skills, data driven decisions, critical thinking & solution focused.
Experience with digital design, circuit analysis, characterization and qualification.
Knowledgeable in ATE test flows, DFT and device physics.
Proficient in statistical data analysis using JMP software or other analytic tools.
Strong interpersonal communication skills and cross-functional collaboration.
Ability to define and drive problems to closure independently with minimal supervision.
Ways To Stand Out From The Crowd:
Hands-on skills with Advantest 93K tester with SMT7 or SMT8 OS.
Knowledge of test time and DPPM reduction.
Experience with logic or SRAM and Voltage/Frequency characterization.
With DFT (design for test) background and be familiar with ATE test principles.
Examples of creative solutions to silicon or package problems with familiarity with automation or AI tools.
With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!
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 for Level 3, and 168,000 USD - 258,750 USD for Level 4.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
- Bachelor's or Master's degree in Electrical Engineering or equivalent experience
- 5+ years of product development engineering or relevant experience
- Experience with digital design, circuit analysis, characterization, and qualification
- Knowledge of ATE test flows, DFT, and device physics
- Proficiency in statistical data analysis using JMP or other analytical tools
- Strong problem-solving, critical-thinking, analytical, and data-driven decision-making skills
- Strong interpersonal communication and cross-functional collaboration skills
- Ability to independently drive problems to closure with minimal supervision
- Hands-on experience with Advantest 93K tester using SMT7 or SMT8 OS
- Knowledge of test-time and DPPM reduction
- Experience with logic or SRAM and Voltage/Frequency characterization
- DFT background and familiarity with ATE test principles
- Experience developing creative solutions to silicon or package problems using automation or AI tools
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.”
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