Senior Software QA Test Development Engineer, Diagnostics

Nvidia

Confirmed live today High trust

Closes in 5 days

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $140,000–$224,250 / yr
Employment: Full-time
Posted: 42 days ago
Freshness: Confirmed live today
Closes: Nov 1, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $182k

$130k $234k

below market most similar roles pay here above market

This role pays more than 59% of similar roles. Most pay $142,450–$214,000 — the blue band above. At the midpoint, this role pays about $182k versus about $178k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

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

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The Senior Software QA Test Development Engineer - Diagnostics joins the platform SWQA team to develop and execute test plans for the HGX, DGX, and MGX platforms. This role involves testing servers, operating systems, firmware, and the CUDA software stack based on design documents. Key responsibilities include installing systems, driving root cause analysis for reliability failures, and building automation frameworks for server and OS levels. The candidate will utilize Python, Shell, Ansible, Jenkins, C/C++, Java, and JavaScript within Linux environments like Ubuntu and RedHat. Technical requirements include experience with CI/CD, DevOps, KVM, and VMware. The role specifically addresses reliability testing, model testing, and benchmarking for AI tools, NLP, and LLMs, while managing the bug lifecycle in an agile software development environment.

Skills

Python Shell C/C++ Java JavaScript Ansible Jenkins Linux Ubuntu RedHat CentOS SuSE Fedora KVM VMWare Hyper-V TensorFlow PyTorch NLP LLM CUDA OpenCL Docker Kubernetes GitHub Gitlab Gerrit CI/CD DevOps PCIe UEFI Redfish SLURM PXE OpenBMC

What you'll do

Develop and execute test plans for HGX/DGX/MGX platforms covering servers, OS, firmware, and CUDA software stacks.
Install and test various system operating systems, server firmware, and software stacks.
Perform root cause analysis on reliability and validation test failures to identify issues and implement mitigations.
Build, develop, and debug server and OS-level automation frameworks and tests for front-end and back-end systems.
Review partner and supplier test results to prescribe additional reliability testing for components, servers, and packaging.
Manage the bug lifecycle and coordinate with internal groups to drive technical solutions.
Utilize AI tools and frameworks to create test plans, develop test cases, and automate testing processes.

What we're looking for

Bachelor’s Degree in a STEM field or equivalent experience; or a master’s degree.
5+ years of proven experience in OS and server level automation, CI/CD processes, and DevOps.
Proficiency in Python, SHELL, Ansible, Jenkins, C/C++, and JavaScript.
Strong troubleshooting and debugging experience in Linux (Ubuntu, RedHat, CentOS, SuSE, Fedora) and bare-metal or KVM/VMWare/Hyper-V environments.
Hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor), NLP, and LLM benchmarking.
Experience in FW, BMC/OpenBMC, network protocols, enterprise storage, PCIe buses, CPU, memory, ACPI, UEFI, and Redfish (huge plus).
Experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker (huge plus).
Experience working with NVIDIA GPU hardware and parallel programming in CUDA/OpenCL (preferred).

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