Senior AI Platform QA Engineer - Diagnostics & Automation

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 140,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a highly experienced SWQA engineer to lead testing for HGX/DGX/MGX platform stacks, including OS, firmware, and CUDA software. You will implement automation, analyze failures, and drive reliability improvements within an agile team.

The role emphasizes Python/CI/CD, Linux troubleshooting, and experience with AI tools, NLP, and GPU hardware. Equity and comprehensive benefits are included.

Qualifications

• Bachelor’s Degree (or equivalent experience) in STEM fields; 5+ years experience or Master’s degree.
• Experience with OS and server-level automation, CI/CD, and DevOps.
• Strong Linux troubleshooting, and experience with virtualization (KVM/VMware/Hyper-V).
• Experience with AI tools/frameworks and NLP/LLM benchmarking.
• Familiarity with Git-based workflows (GitHub/GitLab/Gerrit), PXE, SLURM, and container orchestration.

Responsibilities

• Develop and execute test plans for NVIDIA HGX/DGX/MGX platforms on servers, OS, firmware and CUDA SW stack.
• Install and test OS, server firmware, and software stacks.
• Root-cause analysis of reliability/test failures; drive mitigation.
• Build automated test front-end/back-end frameworks and review test results.
• Work in an agile team with high production quality standards.
• Manage bug lifecycles and collaborate across teams to implement solutions.

Skills

Python

Shell

Ansible

Jenkins

C/C++

Java

JavaScript

Linux troubleshooting

CI/CD

DevOps

NLP

TensorFlow

PyTorch

Education

Bachelor's degree in STEM

Master’s degree

Tools

GitHub

GitLab

Gerrit

PXE

SLURM

Kubernetes

Docker

Job description

NVIDIA Corporation is seeking a highly experienced SWQA engineer to lead testing for HGX/DGX/MGX platform stacks, including OS, firmware, and CUDA software. You will implement automation, analyze failures, and drive reliability improvements within an agile team.

The role emphasizes Python/CI/CD, Linux troubleshooting, and experience with AI tools, NLP, and GPU hardware. Equity and comprehensive benefits are included.