Skip to content

Senior Product Development Engineer - Datacenter

NVIDIA

USonsitePosted Jun 4, 2026

Skills

python

About the role

NVIDIA is the leader in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. Make the choice to join our growing team today!

What you'll be doing:

Our team owns developing and executing the manufacturing process for new datacenter printed circuit boards and assemblies incorporating the latest NVIDIA GPU, interconnect and CPU technologies.

Early engagement with HW/FW/SW engineering teams, contract manufacturers, and other operations groups such as procurement and quality, to enforce DFM requirements, build end-to-end solutions that will avoid manufacturing problems and optimize profit.

Participation in mfg. process planning, scheduling and cost optimization.

Work closely with factory personnel and engineering teams during prototype/validation builds, driving solutions to day-to-day problems, collecting metrics and reporting status.

Work with operations teams to define and implement process improvements, often based on data collection and analysis.

What we need to see:

BS/MS or equivalent experience in Electrical Engineering and 12 + years of relevant work experience.

Proven skills and experience in design and manufacture of PCBA’s.

Excellent electronics troubleshooting and rational problem solving skills.

FPGA implementation expertise, including IP security and high speed signaling.

Familiar with power and thermal system design for datacenter rack server systems.

Knowledge of industry standard PCB/PCBA assembly and test technologies such as SMT, ICT, robotics, quality standards, etc.

Excellent teamwork skills, working in a global, matrixed team and motivated to continually improve/optimize processes.

Familiar with diagnostics/test software as used in a factory setting.

CPU, GPU, HBM, PCIe expertise and comfortable writing Python code.

Operations Research/Industrial Engineering/statistics skills are a plus.

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 for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Questions about this role

  • How do I apply to this Senior Product Development Engineer - Datacenter role at NVIDIA?

    Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

  • What's the typical salary for Software Engineer in United States?

    Compensation for Software Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Software Engineer hub for United States medians across recent openings.

  • How fast does AI Applyd auto-apply?

    Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

  • What ATS does NVIDIA use?

    AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.