NVIDIA
Technology
SeniorProductDevelopmentEngineer-DatacenterBoards
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“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.
Root-cause analysis; Diagnose problems; Resolve problems
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
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