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 of 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.
- Collaborate in an agile software development team, manage the bug lifecycle, and work across groups to drive solutions.
Requirements
- Bachelor’s degree or equivalent experience in a STEM field, plus 5+ years of proven experience, or a master’s degree.
- Proven OS- and server-level automation, CI/CD, and DevOps experience using Python, shell, Ansible, Jenkins, C/C++, Java, and JavaScript.
- Strong server and Linux troubleshooting and debugging experience in bare-metal and KVM, VMware, or Hyper-V environments.
- Hands-on experience with model testing, AI tools and frameworks, NLP, and LLM benchmarking.
- Experience using AI development tools to create test plans, develop test cases, and automate test cases.
- Strong experience with firmware, BMC/OpenBMC, network protocols, enterprise storage, PCIe, I/O sub-devices, CPU and memory, ACPI, UEFI, and Redfish is a significant plus.
- Experience with GitHub, GitLab, Gerrit, PXE, SLURM, Kubernetes, and Docker is a significant plus.
- Experience with NVIDIA GPU hardware, Linux virtualization, CUDA or OpenCL parallel programming, LLMs, and NLP is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors, with listed ranges of $140,000–$224,250 for Level 3 and $168,000–$270,250 for Level 4.
- Applications 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.