Senior Datacenter Product Development Engineer

Posted 15 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves launching GPU server products, developing diagnostic tests, ensuring compliance with engineering standards, and leading production optimization efforts.
Summary Generated by Built In

NVIDIA Corporation is a world leader in visual computing technology. The GPU, which the company invented, serves as the visual cortex of modern computers and is at the heart of their products and services. NVIDIA has transformed into a specialized platform company that targets four large markets – Gaming, Professional Visualization, Datacenter and Automotive – where visual computing is essential and deeply valued. Their work also uncovers new universes to explore and enable amazing creativity and discovery by powering what was once thought to be science fiction inventions like artificial intelligence and autonomous cars.

Collaborating with your peers across various engineering groups, you will successfully launch new boards for NVIDIA GPU Accelerated Server Platforms (HGX/MGX/DGX) to production. These purpose-built systems are optimized for the growing Deep Learning, Artificial Intelligence, and Analytics environments. With world-class technology enabling never-been-seen-before performance levels, NVIDIA’s HGX/MGX/DGX portfolio is arguably the most complicated Server platform ever developed by humans. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. You will bring to bear your knowledge of Server architectures, CPU baseboards and GPU technology in order to productize new GPU boards for Server architectures with GPU-accelerated clusters. Your responsibilities will include planning and establishing processes, defining test requirements and optimizing the production line to deliver new NVIDIA GPU boards. You will also be instrumental in helping the team to achieve the desired cost and quality metrics considered best-in-class.

What you will be doing:

  • Leverage your in-depth experience with high-speed signals to plan and develop new diagnostic tests and debug procedures for next gen products.

  • Use your knowledge of system power-up and handshakes during boot to debug complex interactions between HW, FW and SW on faulty boards.

  • Recommend, drive and ensure compliance to DFx requirements for robust signal integrity performance as related to layout, mechanical components, assembly procedures, etc.

  • Own a product or series of products end-to-end through the entire product lifecycle; your role would be to ensure successful production ramps are achieved working through a large matrixed team.

  • Develop and deliver test specs for system level manufacturing screens for all new products to meet the required HW coverage, quality and product requirements for various business units.

  • Collaborate with CM to define product assembly line, number of test stations and number of assembly fixtures, optimized for cost and throughput.

  • Craft creative solutions and WARs through volume data analysis and lab experimentation to solve challenging yield and test problems seen on the production floor.

  • Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.

  • Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage.

What we need to see:

  • BS/MS in EE/CE/CS or equivalent experience

  • 8+ years of experiences in HW design or diagnostics/validation or manufacturing test of ASIC chips, boards and systems

  • Proficient in HW interfaces, including PCIe (Gen4+), InfiniBand, Ethernet, I3C/I2C, SPI, USB, etc.

  • In depth understanding of HPC server architecture and Out-of-Band management

  • Familiar with FPGA/CPLD implementation, FW secure-boot and encrypted images

  • Strong problem-solving and trouble-shooting expertise; and institutionalizing root-cause analysis

  • Experience in defining test and validation specifications for complex HW systems or HPC server

  • Motivated to continually improve/optimize processes

  • Self-initiative, strong interpersonal skills, and flexibility to adapt to new technologies

Ways to stand out from the crowd:

  • Prior experience in HW board/system electrical design, HW diagnostics software or device drivers development

  • On-hand experience in debugging and triaging HW faults using testing equipment and Linux commands/tools

  • Proficient in Python, Shell scripting and AI tools for HW testing automation and log parsing

  • Operations Research/Industrial Engineering/statistics skills

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 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 23, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • BS/MS in EE/CE/CS or equivalent experience
  • 8+ years of experience in HW design or diagnostics/validation or manufacturing test of ASIC chips, boards, and systems
  • Proficient in HW interfaces including PCIe (Gen4+), InfiniBand, Ethernet, I3C/I2C, SPI, USB
  • In-depth understanding of HPC server architecture and Out-of-Band management
  • Familiar with FPGA/CPLD implementation, FW secure-boot and encrypted images
  • Strong problem-solving and troubleshooting expertise
  • Experience in defining test and validation specifications for complex HW systems
  • Self-initiative, strong interpersonal skills, and flexibility to adapt to new technologies

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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