Senior Software QA Test Development Engineer - Diagnostics

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $140,000–$224,250 / yr
Posted: 57 days ago
Closes: Jun 15, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $182k

$122k most similar roles pay here $235k

This role pays more than 64% of similar roles. Most pay $143,572–$210,812 — the shaded band above. At the midpoint, this role pays about $182k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software QA Test Development Engineer - Diagnostics

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NVIDIA’s Platform SWQA team seeks an experienced Software Quality Assurance Engineer to develop and execute comprehensive test plans for NVIDIA HGX/DGX/MGX platforms across servers, operating systems, firmware, and software stacks. This role involves installing and testing various system configurations, driving root cause analysis for reliability issues, and building automation frameworks using Python, Shell, Ansible, Jenkins, C/C++, Java, and JavaScript. The ideal candidate will have a strong background in Linux troubleshooting, AI tools like TensorFlow and PyTorch, NLP benchmarking, and experience with CI/CD processes and DevOps practices. Knowledge of GPU hardware, virtualization technologies such as KVM and Kubernetes, and parallel programming with CUDA is highly desirable for this fast-paced, high-quality standards environment focused on advancing AI computing solutions.

Skills

Python Jenkins Ansible C Java JavaScript Linux Ubuntu RedHat CentOS SUSE Fedora TensorFlow PyTorch CI/CD GitHub GitLab Gerrit PXE SLURM Kubernetes Docker NVIDIA_GPU CUDA OpenCL

What you'll do

Develop and execute test plans for NVIDIA HGX/DGX/MGX platforms on servers and OS.
Install and test various systems OS, server firmware, and software stacks.
Conduct root cause analysis to identify and mitigate reliability and validation issues.
Build and develop automation frameworks and tests at the server and OS levels.
Review partner and supplier test results and prescribe additional reliability testing.
Manage bug lifecycle and collaborate with inter-groups to drive solutions.

What we're looking for

5+ years of experience in OS and server level automation, CI/CD processes, and DevOps using Python, Shell, Ansible, Jenkins.
Strong troubleshooting and debugging skills for Linux servers in bare-metal and virtual environments (KVM, VMware).
Hands-on experience with AI tools/frameworks like TensorFlow, PyTorch, and NLP benchmarking.
Expertise in firmware, BMC/OpenBMC, network protocols, storage devices, PCIe buses, CPU/memory, ACPI/UEFI spec, Redfish.
Experience in GitHub/GitLab/Gerrit, PXE, SLURM, Kubernetes/Docker for test plan creation and automation.

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