Senior Software QA Test Development Engineer - Diagnostics

NVIDIA; Santa Clara (CA); On-site; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an exceptional software QA engineer for platform testing across HGX/DGX/MGX servers, OS, firmware, and CUDA software. You will build automation for server and OS stacks, perform root-cause analysis of reliability issues, and work in an agile team delivering high-quality products.

Strong Linux, CI/CD, and DevOps experience are required. You will collaborate with partners, review results, and contribute to test plans and automation using Python, shell, Ansible, Jenkins, and

Qualifications

• Bachelor’s Degree (or equivalent) in STEM field; 5+ years experience or Master’s degree.
• Expertise in OS/server automation, CI/CD, DevOps using Python, shell, Ansible, Jenkins, C/C++, Java, JavaScript.
• Strong Linux debugging across bare-metal, KVM/VMware/Hyper-V environments.

Responsibilities

• Develop and execute NVIDIA HGX/DGX/MGX platform test plans for servers, OS, firmware, and CUDA software.
• Install and test OS, server firmware, and software stacks; drive root-cause analysis of failures.
• Build and extend server and OS level automation front-end/back-end and tests.
• Review partner/supplier test results and prescribe additional reliability tests.
• Work in an agile team with high production quality standards; manage bug lifecycle.

Skills

Python

SHELL

Ansible

Jenkins

C/C++

Java

JavaScript

Linux troubleshooting

CI/CD

DevOps

TensorFlow

PyTorch

NLP

LLM benchmarking

GitHub/GitLab/Gerrit

KVM

Docker

Kubernetes

VMware

PCIe

UEFI

Redfish

Education

Bachelor’s Degree (STEM)

Master’s Degree

Tools

KVM

Docker

Kubernetes

VMware

GitHub

GitLab

Gerrit

PXE

Slurm

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 15, 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 its 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.