Senior Software QA Test Development Engineer - Diagnostics

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a highly experienced SWQA engineer to lead testing for HGX/DGX/MGX platform stacks, including OS, firmware, and CUDA software. You will implement automation, analyze failures, and drive reliability improvements within an agile team.

The role emphasizes Python/CI/CD, Linux troubleshooting, and experience with AI tools, NLP, and GPU hardware. Equity and comprehensive benefits are included.

Qualifications

• Bachelor’s Degree (or equivalent experience) in STEM fields; 5+ years experience or Master’s degree.
• Experience with OS and server-level automation, CI/CD, and DevOps.
• Strong Linux troubleshooting, and experience with virtualization (KVM/VMware/Hyper-V).
• Experience with AI tools/frameworks and NLP/LLM benchmarking.
• Familiarity with Git-based workflows (GitHub/GitLab/Gerrit), PXE, SLURM, and container orchestration.

Responsibilities

• Develop and execute test plans for NVIDIA HGX/DGX/MGX platforms on servers, OS, firmware and CUDA SW stack.
• Install and test OS, server firmware, and software stacks.
• Root-cause analysis of reliability/test failures; drive mitigation.
• Build automated test front-end/back-end frameworks and review test results.
• Work in an agile team with high production quality standards.
• Manage bug lifecycles and collaborate across teams to implement solutions.

Skills

Python

Shell

Ansible

Jenkins

C/C++

Java

JavaScript

Linux troubleshooting

CI/CD

DevOps

NLP

TensorFlow

PyTorch

Education

Bachelor's degree in STEM

Master’s degree

Tools

GitHub

GitLab

Gerrit

PXE

SLURM

Kubernetes

Docker

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 August 23, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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 pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.