AI Platform QA Engineer — Reliability, CI/CD & Automation
NVIDIA
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Benefits offered by this job
Job summary
NVIDIA is seeking an exceptional software QA engineer for platform testing across HGX/DGX/MGX servers, OS, firmware, and CUDA software. You will build automation for server and OS stacks, perform root-cause analysis of reliability issues, and work in an agile team delivering high-quality products.
Strong Linux, CI/CD, and DevOps experience are required. You will collaborate with partners, review results, and contribute to test plans and automation using Python, shell, Ansible, Jenkins, and
Qualifications
- Bachelor’s Degree (or equivalent) in STEM field; 5+ years experience or Master’s degree.
- Expertise in OS/server automation, CI/CD, DevOps using Python, shell, Ansible, Jenkins, C/C++, Java, JavaScript.
- Strong Linux debugging across bare-metal, KVM/VMware/Hyper-V environments.
Responsibilities
- Develop and execute NVIDIA HGX/DGX/MGX platform test plans for servers, OS, firmware, and CUDA software.
- Install and test OS, server firmware, and software stacks; drive root-cause analysis of failures.
- Build and extend server and OS level automation front-end/back-end and tests.
- Review partner/supplier test results and prescribe additional reliability tests.
- Work in an agile team with high production quality standards; manage bug lifecycle.
Skills
Education
Tools
Job description
NVIDIA is seeking an exceptional software QA engineer for platform testing across HGX/DGX/MGX servers, OS, firmware, and CUDA software. You will build automation for server and OS stacks, perform root-cause analysis of reliability issues, and work in an agile team delivering high-quality products.
Strong Linux, CI/CD, and DevOps experience are required. You will collaborate with partners, review results, and contribute to test plans and automation using Python, shell, Ansible, Jenkins, and
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