Senior Software Development Engineer in Test - SDET

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
35 days ago
Freshness
Confirmed live yesterday
Closes
Nov 15, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $167k
$109k $221k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $148,240–$186,350.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Development Engineer in Test - SDET

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The Senior Software Development Engineer in Test - SDET joins the team to validate NVIDIA enterprise offerings including NIM, NeMo, and BioNeMo. The role involves crafting, implementing, and maintaining automated test cases while supporting automation infrastructure. Key responsibilities include collaborating with development teams to triage issues, performing root cause analysis, verifying fixes, and defining test plans. The candidate will also investigate ways to leverage AI capabilities to accelerate the Quality Assurance process. Required technical skills include proficiency in Linux OS, shell, and Python programming, alongside strong knowledge of QA principles. Candidates should have experience using AI development tools for test automation. Preferred technical competencies include knowledge of LLMs, parallel programming, and virtualization technologies such as Docker, Kubernetes, and Openstack to solve complex software testing problems.

Skills

Python Shell Linux Docker Kubernetes OpenStack NIM NeMo BioNeMo LLM AI QA Parallel Programming Virtualization GPU Hardware

What you'll do

  • Execute test cases to validate NVIDIA enterprise offerings like NIM, NeMo, and BioNeMo.
  • Craft, implement, and maintain automated test cases and supporting automation infrastructure.
  • Triage issues and perform root cause analysis in collaboration with development teams.
  • Verify software fixes and define additional tests to improve overall test plans.
  • Investigate and implement AI capabilities to accelerate the Quality Assurance process.
  • Use AI development tools to craft test plans and automate test cases.

What we're looking for

  • MS or PhD degree in computer science or a 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, developing, and automating test cases.
  • Knowledge in LLM and AI models (preferred); experience with NVIDIA GPU hardware, parallel programming, or virtualization technologies (preferred).

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