Senior Test Development Engineer – Datacenter GPU Systems

Reposted 4 Days Ago
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3 Locations
In-Office
168K-311K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Test Development Engineer will design testing methodologies, develop stress tests, analyze results, and mentor junior engineers for GPU systems.
Summary Generated by Built In

NVIDIA is at the forefront of the AI revolution, and our datacenter products are the engines powering this transformation. We seek a Senior Test Development Engineer to join our Silicon Solutions Architecture Development team. In this critical role, you will design next-generation testing methodologies that ensure the performance, reliability, and integrity of pioneering GPU server systems used in the world's most demanding computing environments. If you thrive on solving sophisticated technical challenges, shaping future hardware, and ensuring flawless product quality, this is your opportunity to make a direct impact on the future of AI and high-performance computing.

What You'll Be Doing:

  • Innovate & Build – Design and implement novel test plans, tools, and automation frameworks to validate GPU functionality, performance, and reliability in complex datacenter environments.

  • Safeguard Data Integrity – Develop groundbreaking stress tests and methodologies to detect, characterize, and eliminate silent data errors.

  • Build the Future of Hardware – Partner with architecture and silicon construction teams to influence system and chip-level features that improve diagnostics, debuggability, and root-cause analysis.

  • Deep Dive Debugging – Analyze test results, investigate complex failures, and drive solutions in close collaboration with design, firmware, and software teams.

  • Lead & Mentor – Provide technical leadership, guide junior engineers, and shape validation strategy across datacenter product lines.

What We Need to See:

  • BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent experience).

  • 8+ years of experience in hardware validation, test development, or datacenter hardware engineering.

  • Expert programming skills in Python and/or C/C++ for automation and tool development.

  • Deep Linux/Unix expertise, including advanced shell scripting.

  • Strong knowledge of server architecture: CPUs, GPUs, PCIe, networking, and storage.

  • A hard-working, proactive approach with a proven ability to own and deliver complex projects.

Ways to Stand Out From the Crowd:

  • Hands-on experience with NVIDIA GPU architecture (Hopper, Ampere) and software stack (CUDA, NCCL).

  • Experience testing high-speed interconnects such as NVLink or InfiniBand.

  • Familiarity with AI/ML or HPC benchmarking and stress-testing tools.

  • Proven track record of identifying and resolving critical bugs in pre-production hardware.

NVIDIA is consistently ranked among the world's most desirable technology employers. We offer competitive compensation, industry-leading benefits, and a culture of innovation that empowers our people to do their best work. You'll be part of a team that is shaping the future of AI, GPU, and datacenter technologies.

Are you ready to help us define the next generation of computing? We want to hear from you.

#LI-Hybrid

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 - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 26, 2025.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.

Top Skills

C/C++
Cuda
Linux
Nccl
Python
Unix
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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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