10 days ago
Base Salary
$140k - $270k/yr
Responsibilities
- Develop and execute NVIDIA HGX, DGX, and MGX platform test plans covering servers, operating systems, firmware, and the CUDA software stack.
- Install and test operating systems, server firmware, and software stacks.
- Perform root cause analysis for reliability and validation test failures and drive mitigations.
- Build, develop, and debug server- and OS-level automation frameworks and tests.
- Review partner and supplier test results and prescribe additional reliability testing for components, servers, and packaging.
- Develop AI-assisted test plans, test cases, and test automation, including model testing and LLM benchmarking.
- Manage the bug lifecycle and collaborate across groups to drive solutions.
Requirements
- Bachelor’s degree or equivalent experience in a STEM field.
- At least 5 years of proven experience, or a master’s degree.
- Experience with OS- and server-level automation, CI/CD processes, and DevOps using Python, shell, Ansible, Jenkins, C++, Java, and JavaScript.
- Strong server and Linux troubleshooting and debugging experience in bare-metal, KVM, VMware, and Hyper-V environments.
- Hands-on experience with model testing, AI tools and frameworks, NLP, and LLM benchmarking.
- Experience using AI development tools for test-plan creation, test-case development, and test automation.
- Additional experience with firmware, BMC/OpenBMC, network protocols, enterprise storage, PCIe, CPU and memory systems, ACPI, UEFI, and Redfish is highly valued.
- Experience with GitHub, GitLab, Gerrit, PXE, SLURM, Kubernetes, and Docker is highly valued.
- Experience with NVIDIA GPU hardware and parallel programming using CUDA or OpenCL is a plus.
Benefits
- Eligible for equity and benefits.
- Expected base salary ranges from $140,000 to $224,250 for Level 3 and from $168,000 to $270,250 for Level 4.
- The application will be accepted at least until November 3, 2026.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.