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# Senior Software QA Test Development Engineer - Diagnostics

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), JavaScript (Programming Language), Advanced Configuration and Power Interface (ACPI), Agile Methodology, Artificial Intelligence, Bash Shell, C++ (Programming Language), Nvidia CUDA, Continuous Integration, Linux, DevOps, Firmware, Github, Hardware Interface Design, Hyper-V, Python (Programming Language), Kernel-Based Virtual Machine, Network Protocols, PCI Express, Software Reliability Testing, Ansible, Tensorflow, Virtualization Technology, Extensible Firmware Interface, Gerrit, Pytorch, Large Language Models, Gitlab, Kubernetes, Bare Metal, Hardware Acceleration, Data Management, Slurm, Docker, Jenkins, Vmware
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-software-qa-test-development-engineer-diagnostics-santa-clara-ca-usa-58912923

## About the Role

across reliability testing * Work in an agile software development team with high production quality standards * Manage bug lifecycle and collaborate with cross-group teams to drive solutions Tasks * Bachelor's degree in STEM or equivalent experience * 5+ years of experience or master's degree * Proven OS and server automation, CI/CD, and DevOps experience using Python, Shell, Ansible, Jenkins, C/C++, Java, JavaScript * Strong Linux troubleshooting in bare-metal and virtualization environments (KVM/VMware/Hyper-V) * Experience with AI tools/frameworks (TensorFlow, PyTorch) and NLP/LLM benchmarking * Experience creating test plans, test cases, and automation for AI development tools * Knowledge of FW, BMC/OpenBMC, network protocols, enterprise storage, PCIe, IO devices, CPU/memory, ACPI, UEFI, Redfish; virtualization and hardware interfaces is a plus * Experience with GitHub/GitLab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker is a plus Key requirements * equity * benefits

## Description

Experteer Overview As a Platform SWQA Engineer at NVIDIA, you will design and execute test plans for HGX/DGX/MGX server platforms across OS, firmware, and CUDA software. You'll install, test, and automate validation, drive root-cause analysis for reliability issues, and build end-to-end automation for server and OS testing. You'll review partner results and push for targeted reliability tests, while collaborating in an agile, quality-driven environment. This role combines hardware expertise with software QA to ensure scalable, high-quality AI hardware platforms. Compensation / Benefits * Develop and execute platform test plans for HGX/DGX/MGX servers across OS, firmware, and CUDA software * Install and validate systems OS, server firmware, and software stack * Lead root-cause analysis of reliability/validation failures and implement mitigations * Build and maintain automation front-end and back-end tests for server and OS level * Review partner/supplier test results and prescribe additional reliability testing * Work in an agile software development team with high production quality standards * Manage bug lifecycle and collaborate with cross-group teams to drive solutions Tasks * Bachelor's degree in STEM or equivalent experience * 5+ years of experience or master's degree * Proven OS and server automation, CI/CD, and DevOps experience using Python, Shell, Ansible, Jenkins, C/C++, Java, JavaScript * Strong Linux troubleshooting in bare-metal and virtualization environments (KVM/VMware/Hyper-V) * Experience with AI tools/frameworks (TensorFlow, PyTorch) and NLP/LLM benchmarking * Experience creating test plans, test cases, and automation for AI development tools * Knowledge of FW, BMC/OpenBMC, network protocols, enterprise storage, PCIe, IO devices, CPU/memory, ACPI, UEFI, Redfish; virtualization and hardware interfaces is a plus * Experience with GitHub/GitLab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker is a plus Key requirements * equity * benefits


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