Job description

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. • Implement CP (chip probing) test processes to improve manufacturing efficiency for our latest GPUs, built in leading-edge process technology. • 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. • Cross functionally lead efforts with design, foundry, DFT, test, Planning and quality to root-cause and solve technical problems. • Have the opportunity to influence future ASIC designs to improve test coverage and enable better product yield, test time, silicon bring-up and releases. What We Need To See: • Master's degree in Electrical Engineering or equivalent experience. • 2+ 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 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 experience with Advantest 93K tester with SMT7 or SMT8 OS. • 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. • Familiarity with scripting/programming knowledge (Python or Perl). 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 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 1, 2026. 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.

Requirements

Must-haves

As an integral part of product engineering, you will drive our latest architecture designs to market.
Implement CP (chip probing) test processes to improve manufacturing efficiency for our latest GPUs, built in leading-edge process technology.
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.
Cross functionally lead efforts with design, foundry, DFT, test, Planning and quality to root-cause and solve technical problems.
Have the opportunity to influence future ASIC designs to improve test coverage and enable better product yield, test time, silicon bring-up and releases.
Master's degree in Electrical Engineering or equivalent experience.
2+ 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 tools.
Strong interpersonal communication skills and cross-functional collaboration.
Ability to define and drive problems to closure independently with minimal supervision.
Hands-on experience with Advantest 93K tester with SMT7 or SMT8 OS.
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.
Familiarity with scripting/programming knowledge (Python or Perl).
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

Platform: eightfold
Effort: medium

Benefits

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