NVIDIA

Technology

SeniorProductDevelopmentEngineer-DatacenterBoards

$136–259k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Product Development Engineer - Datacenter Boards at NVIDIA. Skills: Product development, Datacenter boards, Manufacturing test, Root-cause analysis. Module NPI for datacenter products. Module NPI for HPC products”

What You'll Achieve.

Accountability for yield targets; Accountability for quality gates; Accountability for on-time delivery

Industry & Context.

Technology
Problems you'll solve

Root-cause analysis; Diagnose problems; Resolve problems

Eligibility Requirements

Travel up to 15%

What They're Looking For.

Must Have

5+ years product engineering, 5+ years product development, 5+ years manufacturing, 5+ years validation PCBs, 5+ years validation silicon, 5+ years validation complex systems, Server architectures, Datacenter system PCBoard design, SMT and assembly process, Board-level validation, Post-silicon validation, High-speed interface validation, Power Integrity analysis, Thermal analysis, Complex test setup design, Test automation, Lead complex GPU projects, Lead board-level projects, Diagnose multi-disciplinary problems, Resolve multi-disciplinary problems, Understanding testing strategy economics, Communicate complex technical data, Bachelor's degree in Electrical Engineering, Master's degree in Electrical Engineering, Equivalent experience

Nice to Have

Python scripting experience, Scripting experience for manufacturing analytics, Scripting experience for test automation, Scripting experience for data pipelines, Coordinate cross-functional debug efforts, HPC datacenter requirements, Hyperscale datacenter requirements, Hardware engineering, Power requirements, Cooling requirements, Reliability requirements, Serviceability requirements, Qualify advanced memory solutions, Qualify high-speed SerDes interfaces, Knowledge of PCBA manufacturing processes, Knowledge of mechanical tolerances, Knowledge of system-level assembly constraints

What You'll Do.

Module NPI for datacenter products

Module NPI for HPC products

Board NPI for datacenter products

Board NPI for HPC products

Ensure on-time delivery

Define manufacturing test plans

Improve manufacturing test plans

Balance test coverage

Qualify test solutions

Analyze volume manufacturing data

Translate trends into decisions

Perform root-cause analysis

Implement DFM improvements

Implement DFT improvements

Brief leadership on status

Brief leadership on yield trends

Brief leadership on improvement roadmaps

How You'll Work.

Team & Collaboration

Across Engineering; Across Mechanical; Across Thermal; Across Program Management; Across Operations; Partner with CM sites; Cross-functional debug efforts

Communication Scope

Communicate technical data; Brief leadership

Process & Methodology

Program management

Full Job Description

We build the hardware that runs the world's AI — and our Operations NPI team is how we bring it from silicon to data center at scale. At NVIDIA, we're proud to work on GPU platforms like Blackwell and Vera Rubin that push the boundaries of what's possible in compute. We move fast, we care deeply about quality, and we invest in people who want to grow across disciplines — board design, test engineering, yield analytics, and global manufacturing, often within a single program cycle. If you're energized by complex hardware challenges and want to see your work running inside the world's most powerful AI infrastructure, we'd love to talk. **What you 'll be doing:** * Module and board NPI for datacenter and HPC products is the core of this role — from first-article through mass production ramp, with accountability for yield targets, quality gates, and on-time delivery. We work closely across Engineering, Mechanical, Thermal, Program Management, and Operations to surface risks early and keep programs on track. * Our team defines and continuously improves manufacturing test plans — balancing coverage, test-time, cost, and yield across board and system levels — and we partner with CM sites worldwide to qualify and scale those solutions. We analyze volume manufacturing data using scripting and analytics tools to surface trends that matter and translate them into decisions quickly. * When boards fail, we go deep — root-cause analysis across silicon, PCB, and system layers, with findings turned into concrete DFM and DFT improvements for design teams. We hold ourselves and our suppliers to high engineering and quality standards, and we brief leadership regularly on status, yield trends, and improvement roadmaps. **What we need to see:** * 5+ years in product engineering, product development, manufacturing, or validation of PCBs, silicon, or complex systems experience. * Hands-on depth in two or more of the following: server architectures and datacenter system integration; PCB/bo

Free ATS check

Applying for this Senior Product Development Engineer - Datacenter Boards role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about NVIDIA?

Real rants from real employees. Read before you apply.

Read Company Rants →