Nvidia
Nvidia

60 Nvidia Quality Engineer Jobs Hiring Near You

Senior LLVM Compiler Engineer

Santa Clara, CA · On-site +1

$121K - $167K/yr

Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations * Advocate for NVIDIA's technical needs through credible engineering ...

Senior LLVM Compiler Engineer

Redmond, WA

$117K - $160K/yr

Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations * Advocate for NVIDIA's technical needs through credible engineering ...

OR

$104K - $143K/yr

Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations * Advocate for NVIDIA's technical needs through credible engineering ...

Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations * Advocate for NVIDIA's technical needs through credible engineering ...

OR

$104K - $143K/yr

NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for ... This is a development-focused role that drives software quality and reliability without on-call ...

OR · On-site

The NVIDIA Industrial Engineering organization is a strong and visible team pushing the boundaries ... NVIDIA platform in the EDA sphere. * Enabling: Build high-quality training materials and ...

Senior DFT Engineer

Santa Clara, CA · Hybrid

$122K - $168K/yr

... NVIDIA's full product portfolio. * Guide and mentor junior engineers, helping them navigate complex design trade-offs to achieve world-class quality and efficiency. What we need to see: * MS/PhD or ...

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations * Advocate for NVIDIA's technical needs through credible engineering ...

Work with NVIDIA VLSI and Operations teams to deliver the scan feature in all product segments at NVIDIA. * Help mentor junior engineers on test designs and trade-offs including cost and quality.

Showing results 41-60

Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
Infographic showing various Quality Engineer job openings at Nvidia in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 14% Hybrid, and 2% Remote job distribution.
Senior Software QA Test Development Engineer - Diagnostics

Senior Software QA Test Development Engineer - Diagnostics

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 28 days ago


Job description

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the 'AI Computing Company', and NVIDIA GPUs are the brains powering Deep Learning software frameworks, analytics, data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and hard-working technical people across countries sounds exciting, this job is for you. NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise server integration, strong Linux experience, reliability testing with various telemetries, scale out cluster, test plan development, track record in developing AI tools and NLP, DevOps, CI/CD experience to join our platform SWQA team.
What you'll be doing:
  • Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW and CUDA SW stack from design doc.
  • Installing and testing various systems OS, server firmware and SW stack.
  • Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
  • Build, develop/debug server and OS level automation front-end and back-end framework and tests
  • Review partner and supplier test results and prescribe additional reliability testing on components, servers, and packaging as needed.
  • Work in an agile software development team with very high production quality standards.
  • Manage bug lifecycle and collaborate with inter-groups to drive for solutions.

What we need to see:
  • Bachelor's Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field
  • 5+ years proven experience; or master's degree.
  • Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
  • Strong server and Linux(Ubuntu, RedHat, CentOS, SuSE, Fedora and etc...) troubleshooting and debugging experience in a bare-metal and KVM/VMWare/Hyper-V environment.
  • Good knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor and etc...), NLP and LLM benchmarking
  • Experience in using AI development tools for test plans creation, test cases development and test cases automation
  • Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus
  • Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker) - huge plus

Ways to stand out from the crowd:
  • AI related tools, LLM and NLP.
  • Experience working with NVIDIA GPU hardware is a strong plus.
  • Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
  • Background in parallel programming ideally CUDA/OpenCL is a plus

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 14, 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.

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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