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# Senior Software Development Engineer in Test - SDET

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $224,250.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Artificial Intelligence, Linux, Python (Programming Language), OpenStack, Virtualization Technology, Large Language Models, Parallel Computation, Kubernetes, Information Technology, Nim (Programming Language), Docker, SDET
- **Published:** August 28, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Development-Engineer-in-Test---SDET_JR2019589

## About the Role

* MS or PhD degree in computer science or relevant field, or equivalent experience.
 * At least 5+ years of professional experience in software testing.
 * Proficiency in oral and written English.
 * Comfort working with Linux OS.
 * Strong skills in shell and Python programming.
 * Strong knowledge of QA principles and background in software testing.
 * Experience using AI development tools for crafting test plans, developing test cases, and automating test cases.
 * Excellent problem-solving abilities.
 * Strong interpersonal skills, quick learning ability, proactive approach, innovation, and dedication.
 * Self-motivation and a passion for learning new hardcore technology.
 * Knowledge in LLM and AI models is a plus.

Ways to stand out from the crowd:

 * Experience working with NVIDIA GPU hardware.
 * Background in parallel programming.
 * Experience with virtualization technologies such as Docker, Kubernetes, and Openstack.

## Description

* Accomplishing test cases to validate NVIDIA enterprise offerings, such as NIM, NeMo, and BioNeMo.
 * Crafting, implementing, and maintaining automated test cases and supporting automation infrastructure.
 * Collaborating with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans.
 * Investigating and bringing to bear AI capabilities to accelerate the Quality Assurance (QA) process.


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