NVIDIA Corporation

Product Development Engineer

NVIDIA Corporation$168K — $258K *
Technical Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS degree in electrical engineering or equivalent experience.
  • 8+ years of work experience in product development or related fields.
  • Experience with product verification and failure analysis on Verigy 93K tester.
  • Strong proficiency in Python, C or C++, and JMP for data analysis.
  • Solid communication and presentation skills.
  • Proven track record as a strong collaborator in cross-functional teams.
  • Ability to work independently with minimal supervision.

Responsibilities

  • Lead failure analysis of ATE-related system-level failures and customer RMAs.
  • Identify discrepancies between ATE, SLT, and BLT results and define corrective actions.
  • Collaborate with cross-functional teams to improve testability and quality metrics.
  • Drive forums to track manufacturing fallout with defined ownership and targets.
  • Build AI-driven workflows to detect yield limiters and quality risks.

Benefits

  • Equity participation options.
  • Comprehensive benefits package.
  • Exposure to cutting-edge technology and practices.
Full Job Description
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:

  • Lead failure analysis of ATE-related escapes - specifically failures seen at system-level and customer RMAs. Determine root cause and drive corrective actions back into wafer sort and package test.
  • Identify systematic discrepancies between ATE, SLT and BLT results; define guard bands, screens, correlation metrics, and test methodology changes to reduce downstream fallout.
  • Partner with Design, DFX, Test Engineering, Hardware, PQE, and SQE teams to identify DFx and ATE coverage gaps, then influence chip-level hooks, test modes, monitors, and observability features that improve testability and outgoing quality.
  • Drive cross-functional forums to track end-to-end fallout across NVIDIA manufacturing, with clear ownership, closure criteria, and measurable reduction targets.
  • Define and build AI / data-analytics-driven workflows to identify yield limiters, fallout signatures, systematic escapes, and early indicators of customer-quality risk.


What We Need To See:

  • BS degree in electrical engineering or equivalent experience.
  • 8+ years of work experience.
  • Experience with product verification and failure analysis on Verigy 93K tester.
  • Strong data engineering skillset, with proficiency in Python, C or C++, and statistical modeling of data using JMP software or other tools for data analysis
  • Solid communication and presentation skills.
  • Solid interpersonal skills and track record as a strong collaborator.
  • Dedicated and able to work with minimum supervision.


Ways To Stand Out From Crowd

  • Direct working experience on using AI platforms for data analytics (Claude, cursor, lovable etc..)
  • Direct working experience on improving system and board level yields by enhancing ATE structural test coverage.
  • A 'got-getter, can get it done' attitude and independent 'out-of-box' thinking'.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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