Senior Software QA Test Development Engineer - Diagnostics - CA, Santa Clara, United States
$140,000 - $270,250 USD yearly
Originally posted 19 August 2026 by the employer.
Develop and execute platform test plans for NVIDIA HGX/DGX/MGX.
About the role
This role involves developing and executing platform test plans for servers, OS, firmware, and the CUDA software stack, focusing on diagnostics.
What you'll do
- Develop and execute NVIDIA HGX/DGX/MGX platform test plans on servers, OS, FW and CUDA SW stack.
- Install and test various systems OS, server firmware and SW stack.
- Drive root cause analysis on reliability and validation test failures.
- Build, develop, and debug server and OS level automation front-end and back-end frameworks and tests.
- Review partner and supplier test results and prescribe additional reliability testing.
- Manage bug lifecycle and collaborate with inter-groups to drive for solutions.
What you'll need
- Bachelor’s Degree in a STEM field or equivalent experience.
- 5+ years of proven experience in OS and server level automation, CI/CD process and DevOps.
- Experience with Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript.
- Strong server and Linux (Ubuntu, RedHat, CentOS, SuSE, Fedora) troubleshooting and debugging experience in bare-metal and KVM/VMWare/Hyper-V environments.
- Knowledge and hands-on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor), NLP and LLM benchmarking.
- Experience using AI development tools for test plan creation, test case development, and test case automation.
- Strong experience with FW, BMC/OpenBMC, Network protocol, enterprise storage devices, PCIe buses and devices, IO sub-devices, CPU and memory, ACPI, UEFI spec, Redfish.
- Experience with GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker.
Nice to have
- AI related tools, LLM and NLP experience.
- Experience working with NVIDIA GPU hardware.
- Solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes).
- Background in parallel programming (CUDA/OpenCL).
Skills: platform test plan, servers, OS, FW, CUDA SW stack, automation framework, Linux troubleshooting, AI tools/frameworks, DevOps, CI/CD
This role has been open 58 days — slightly above the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
976
|
Median days open
51 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (976 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 274 | 976 |
| Open roles in the wider Software, Firmware & Systems family | 973 | 6114 · 145 employers |
| Median days open | 46 d | 51 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: platform test plan, servers, OS, FW, CUDA SW stack, automation framework, Linux troubleshooting, AI tools/frameworks, DevOps, CI/CD
Who's hiring in this category
- NVIDIA (this employer) · 281 open roles · median 46 d
- Qualcomm · 62 open roles · median 52 d
- AMD · 55 open roles · median 18 d
- Graphcore · 44 open roles · median 92 d
- Intel Corporation · 43 open roles · median 11 d
- Cerebras · 39 open roles · median 82 d
How we counted: 976 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 17 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.