Senior Test Development Engineer – Datacenter GPU Systems at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Datacenter, Semiconductors, High-Performance ComputingIndustries

Requirements

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

Responsibilities

Design and implement novel test plans, tools, and automation frameworks to validate GPU functionality, performance, and reliability in complex datacenter environments
Develop groundbreaking stress tests and methodologies to detect, characterize, and eliminate silent data errors
Partner with architecture and silicon construction teams to influence system and chip-level features that improve diagnostics, debuggability, and root-cause analysis
Analyze test results, investigate complex failures, and drive solutions in close collaboration with design, firmware, and software teams
Provide technical leadership, guide junior engineers, and shape validation strategy across datacenter product lines

Skills

Key technologies and capabilities for this role

PythonC++LinuxUnixShell ScriptingHardware ValidationTest DevelopmentTest AutomationGPU SystemsServer ArchitectureStress TestingDebugging

Questions & Answers

Common questions about this position

What is the base salary for this position?

Your base salary will be determined based on your location, experience, and the pay of other employees in your job title. No specific range is provided.

Is this a remote position or does it require office work?

This is a hybrid position.

What skills and experience are required for this role?

Candidates need a BS/MS in Electrical Engineering, Computer Engineering, Computer Science or related field, 8+ years in hardware validation/test development/datacenter hardware engineering, expert Python and/or C/C++ programming skills, deep Linux/Unix expertise with shell scripting, and strong knowledge of server architecture including CPUs, GPUs, PCIe, networking, and storage.

What is the company culture like at NVIDIA?

NVIDIA offers a culture of innovation that empowers people to do their best work and is consistently ranked among the world's most desirable technology employers.

What makes a candidate stand out for this position?

Hands-on experience with NVIDIA GPU architecture (Hopper, Ampere) and software stack (CUDA, NCCL), experience testing high-speed interconnects like NVLink or InfiniBand, familiarity with AI/ML or HPC benchmarking tools, and a proven track record of identifying and resolving critical bugs in pre-production hardware will help candidates stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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