NVIDIA Corporation

Senior Product Development Engineer - Datacenter Boards

NVIDIA Corporation$136K — $258K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in product engineering, development, manufacturing, or validation of PCBs, silicon, or complex systems.
  • Experience with server architecture, PCB design, high-speed interface validation, or Power Integrity analysis.
  • Proven track record of leading GPU or board-level projects to mass production.
  • Skilled in diagnosing and resolving complex technical problems across various layers.
  • Strong understanding of testing strategy economics related to yield and cost outcomes.
  • Effective communicator of complex technical data to diverse audiences.
  • Bachelor's or Master's degree in Electrical Engineering, or equivalent experience.

Responsibilities

  • Oversee NPI for datacenter and HPC products throughout their lifecycle, ensuring accountability for quality and delivery.
  • Define and enhance manufacturing test plans to maximize coverage and efficiency.
  • Analyze manufacturing data to identify significant trends for decision-making.
  • Conduct root-cause analysis for board failures and implement design improvements.
  • Maintain high quality standards in collaboration with suppliers and engineering teams.
  • Regularly update leadership on project status and yield improvement initiatives.

Benefits

  • Equity opportunities
  • Comprehensive benefits package
  • Flexible work environment
  • Professional development resources
  • Collaborative team culture
Full Job Description
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/board design, SMT, and assembly process engineering; board-level or post-silicon validation and characterization; high-speed interface validation (PCIe, NVLink, Ethernet, PAM4); Power Integrity analysis and thermal characterization; or complex test setup design and automation.
  • History of leading complex GPU or board-level projects to mass production on schedule, with high quality and yield.
  • Ability to diagnose and resolve multi-disciplinary problems spanning silicon, board, firmware, and system layers.
  • Clear understanding of testing strategy economics - how coverage, test-time, and escape rate relate to yield and cost outcomes.
  • Communicates complex technical data clearly to both engineering and business audiences.
  • Travel Requirement: Willingness to travel up to 15%, both domestically and internationally.
  • Bachelor's degree in Electrical Engineering or Master's degree in Electrical Engineering, or equivalent experience.


Ways to stand out from the crowd:
  • Python or scripting experience applied to manufacturing analytics, test automation, or data pipelines.
  • Background coordinating cross-functional debug efforts across silicon, board, and systems.
  • Familiarity with HPC and hyperscale datacenter requirements - hardware engineering, power, cooling, reliability, and serviceability.
  • Experience qualifying advanced memory solutions (HBM, LPDDR) or high-speed SerDes interfaces.
  • Knowledge of PCBA manufacturing processes, mechanical tolerances, and system-level assembly constraints.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.

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.

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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