Senior SDET - Datacenter Server OS & AI Tooling (Equity)

NVIDIA AI

Santa Clara (CA)

On-site

USD 180,000 - 255,000

Full time

20 hours ago
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Job summary

NVIDIA AI in Santa Clara, CA is seeking an experienced software quality/automation engineer to develop and execute platform test plans for HGX/DGX/MGX servers, OS, firmware and CUDA stacks. You will implement automation for server and OS testing, perform root-cause analysis, and drive reliability improvements in an agile, high-quality environment.

The role requires strong Linux troubleshooting, CI/CD/DevOps experience, and hands-on work with AI tools, NLP benchmarks, and modern virtualization

Qualifications

  • Bachelor’s Degree (or equivalent) in a STEM field.
  • 5+ years proven experience; or master’s degree.
  • OS and server level automation, CI/CD, and DevOps using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript.
  • Strong Linux troubleshooting in bare-metal and VM environments.
  • Experience with AI tools/frameworks and NLP/LLM benchmarking.
  • GitHub/GitLab/Gerrit, PXE, SLURM, Kubernetes/Docker experience is a plus.

Responsibilities

  • Develop and execute platform test plans for NVIDIA HGX/DGX/MGX on servers, OS, firmware and CUDA.
  • Install and test various systems OS, server firmware and SW stack.
  • Drive root-cause analysis for reliability and validation failures and implement mitigations.
  • Build/test automation front-end and back-end frameworks and tests.
  • Review tests and prescribe additional reliability testing as needed.
  • Work in an agile team with high production quality standards.

Skills

OS automation
CI/CD
Python
C/C++
Linux troubleshooting
Telemetries
CI/CD tooling
GitHub/GitLab
Docker/Kubernetes
Test automation

Education

Bachelor’s Degree in STEM
Master’s degree (advantage)

Tools

GitHub
GitLab
Gerrit
PXE
SLURM
Kubernetes
Docker

Job description

NVIDIA AI in Santa Clara, CA is seeking an experienced software quality/automation engineer to develop and execute platform test plans for HGX/DGX/MGX servers, OS, firmware and CUDA stacks. You will implement automation for server and OS testing, perform root-cause analysis, and drive reliability improvements in an agile, high-quality environment.

The role requires strong Linux troubleshooting, CI/CD/DevOps experience, and hands-on work with AI tools, NLP benchmarks, and modern virtualization

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