# Senior Software QA Test Development Engineer - Diagnostics

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-QA-Test-Development-Engineer---Diagnostics_JR2023857?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_48a58354-a38

## Description

NVIDIA is seeking a Senior Software QA Test Development Engineer - Diagnostics to join its platform SWQA team. The successful candidate will be responsible for developing and executing test plans for NVIDIA HGX/DGX/MGX platforms on servers, OS, FW, and CUDA SW stack.

**Key Responsibilities:**

- Develop and execute test plans for NVIDIA HGX/DGX/MGX platforms on servers, OS, FW, and CUDA SW stack

- Install and test various systems OS, server firmware, and SW stack

- Drive support for root cause analysis on reliability and validation test failures

- Build, develop, and debug server and OS level automation front-end and back-end framework and tests

- Review partner and supplier test results and prescribe additional reliability testing as needed

- Work in an agile software development team with high production quality standards

- Manage bug lifecycle and collaborate with inter-groups to drive solutions

**Requirements:**

- Bachelor's Degree in a STEM field

- 5+ years of proven experience or master's degree

- Proven experience in OS and server level automation, CI/CD process, and DevOps using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript

- Strong server and Linux troubleshooting and debugging experience

- Good knowledge and hands-on experience in model testing, AI tools/frameworks, NLP, and LLM benchmarking

- Experience in using AI development tools for test plans creation, test cases development, and test cases automation

**Preferred Qualifications:**

- Experience with AI-related tools, LLM, and NLP

- Experience working with NVIDIA GPU hardware

- Solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)

- Background in parallel programming, ideally CUDA/OpenCL

**Benefits:**

- Equity eligibility

- Benefits package

## Skills

### Required
- Python
- SHELL
- Ansible
- Jenkins
- C/C++
- Java
- JavaScript
- Linux
- AI tools/frameworks
- NLP
- LLM benchmarking
- DevOps
- CI/CD

### Nice to have
- AI-related tools
- LLM
- NVIDIA GPU hardware
- virtualization in Linux
- parallel programming
- CUDA/OpenCL

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-QA-Test-Development-Engineer---Diagnostics_JR2023857?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)