Platform Software Validation Engineer - SDET
NVIDIA· Engineer, SW QA Test Dev
Santa Clara, CA$140k - $224.3k + equityfull-timePosted 2mo ago
About the role
NVIDIA platform SWQA SDET role focusing on validation and automation for HGX/DGX/MGX platform on servers, OS, firmware, and CUDA stack; strong Linux, CI/CD, DevOps, AI/NLP tooling, and test automation experience required.
Responsibilities
- 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.
Qualifications
- Bachelor’s Degree (or equivalent experience) in a STEM 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 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
Skills
Required:PythonShell scriptingC/C++DevOps / CI-CDLinux administrationAI tools / frameworksVM / virtualization platforms
Benefits
- equity
- benefits (see NVIDIA benefits page)
Last updated Oct 2, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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