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Nvidia Diagnostic Software Jobs (NOW HIRING)

Nvidia

Senior Hardware Systems Engineer

Santa Clara, CA

$129K - $173K/yr

... diagnostic software. * Review and provide feedback for DFT in the early design stages. * Debug ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Nvidia

Senior Board Test Engineer

Santa Clara, CA

... diagnostic software. * Support the development of test content and solutions in Python ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Nvidia Corporation

System Test Engineer

Santa Clara, CA · On-site

Debug complex hardware and software issues during build phases * Contribute to automated diagnostic ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Nvidia

OR · On-site

$122K - $161K/yr

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern ... We're looking for a highly motivated, creative Factory System Software and Diagnostics Integration ...

Nvidia

System Software Engineer - GPU

Santa Clara, CA

$203K - $240K/yr

We are seeking software engineers to work on the architecture of NVIDIA GPU Diagnostic SW. Our charter is to develop the most demanding applications a GPU or high-performance computing server will ...

Nvidia

OR · On-site

$134K - $180K/yr

Proficiency in distributed systems and hardware / software interfaces is essential for success ... Define technical strategy and development of NVIDIA's Data Center diagnostic systems, orchestrating ...

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Nvidia Diagnostic Software information

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$15

$61

$87

How much do nvidia diagnostic software jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for nvidia diagnostic software in the United States is $61.73, according to ZipRecruiter salary data. Most workers in this role earn between $52.40 and $69.23 per hour, depending on experience, location, and employer.

What is the difference between Nvidia Diagnostic Software vs GPU Technician?

AspectNvidia Diagnostic SoftwareGPU Technician
Primary RoleDiagnoses and tests Nvidia graphics cards using specialized software toolsRepairs, maintains, and replaces GPU hardware components
Required SkillsKnowledge of Nvidia software, troubleshooting, and diagnostic proceduresHardware repair, soldering, component replacement, technical troubleshooting
Work EnvironmentSoftware labs, technical support centers, remote diagnosticsHardware repair shops, electronics labs, manufacturing facilities
CertificationsIT certifications, Nvidia certifications, hardware troubleshooting coursesElectronics certifications, soldering certifications, hardware repair training

While Nvidia Diagnostic Software focuses on software-based diagnostics and testing of Nvidia GPUs, GPU Technicians handle physical hardware repairs and maintenance. Both roles require technical knowledge but differ in their primary tasks and work environments. Understanding these differences helps employers and professionals choose the right career path or service for GPU-related issues.

What is Nvidia Diagnostic Software?

Nvidia Diagnostic Software refers to specialized tools and utilities developed by Nvidia to help users and IT professionals monitor, troubleshoot, and optimize Nvidia GPUs and related hardware. These tools can detect hardware issues, report system health, and provide insights into driver or configuration problems. They are commonly used in both gaming and professional environments to ensure optimal GPU performance and stability. Some popular diagnostic tools include Nvidia System Management Interface (nvidia-smi) and Nvidia Control Panel. Using these tools can help identify faults early and maintain system reliability.

What are the key skills and qualifications needed to thrive as an Nvidia Diagnostic Software Engineer, and why are they important?

To thrive as an Nvidia Diagnostic Software Engineer, you need strong programming skills in C/C++, experience with hardware diagnostics, and a degree in computer engineering or a related field. Familiarity with debugging tools, embedded systems, and Nvidia’s CUDA platform is often required, along with experience using version control systems like Git. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting complex issues. These skills ensure that hardware and software function reliably, contributing to Nvidia’s high-quality product standards.

What are some common challenges faced by professionals working in Nvidia Diagnostic Software roles?

Professionals in Nvidia Diagnostic Software roles often encounter challenges such as staying updated with rapidly evolving hardware architectures and ensuring compatibility across a wide range of GPU models. Debugging complex issues that may involve both hardware and software layers requires strong analytical skills and meticulous attention to detail. Additionally, collaborating effectively with cross-functional teams—including hardware engineers, driver developers, and QA testers—is essential for timely and robust diagnostic tool development. Adapting to new releases and maintaining thorough documentation are also key aspects of the role.
Infographic showing various Nvidia Diagnostic Software job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $128,400 per year, or $61.7 per hour.
Manager, System Test Engineering

Manager, System Test Engineering

Nvidia

Santa Clara, CA

Full-time

Posted 2 days ago

Job description

We are looking to hire a System Test Engineering Manager who will work in test solutions group at NVIDIA developing manufacturing test solutions for Embedded and Automotive System products. Through your leadership, HW and SW expertise you will guide engineers to drive towards solutions that translate to processes and methodologies that have long lasting impact. As a System Test Engineering Manager you will explore the challenging areas of test, test automation and delivering high quality products to customers.

What you'll be doing:

  • Refine manufacturing test solutions for System products translating them to methodologies and processes applicable across Automotive, and Embedded product segments.

  • Investigate and introduce new manufacturing test technology and methodology to enhance production efficiency.

  • Improve or develop new test strategies for products and test infrastructure including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.

  • Build automated diag generation and validation infrastructure.

  • Lead and advise a team of engineers to handle a product line.

  • Guide teams in resolving technical problems.

What we need to see:

  • 10+ overall years of experience with post silicon validation experience in Board or System products. Experience with Embedded and Automotive systems

  • 4+ years of management experience or leading technical teams and projects

  • BS Degree in Electrical or Computer Engineering, or equivalent experience

  • Familiarity with manufacturing, chip to system.

  • Python programming and bash scripting experience.

  • Excellent communication and people skills

With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and system testing engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 19, 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.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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