Senior SWQA Test Development Engineer

Nvidia

Confirmed live today High trust

Closes in 5 days

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $168,000–$270,250 / yr
Employment: Full-time
Posted: 57 days ago
Freshness: Confirmed live today
Closes: Nov 1, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k

This role $219k

$124k $286k

below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $142,300–$204,200 — the blue band above. At the midpoint, this role pays about $219k versus about $173k for comparable roles.

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 SWQA Test Development Engineer

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As a Senior SWQA Test Development Engineer, you will join the team responsible for the quality of microservice-based, containerized AI systems. You will own end-to-end quality from design through production readiness by leading test strategy, planning, and execution across functional, integration, system, performance, and reliability testing. Your daily work involves designing and maintaining test frameworks, validating LLM and AI inference workflows, and providing technical leadership and mentorship to junior engineers. You will utilize Python, Linux, Docker, Kubernetes, and CI/CD pipelines to drive defect triage and root-cause analysis. The role specifically addresses the technical challenges of testing distributed systems, cloud-native platforms, and model lifecycle APIs, while leveraging AI-assisted testing techniques to improve coverage and signal-to-noise ratios for production-critical AI microservices.

Skills

Python Test Automation Docker Kubernetes CI/CD Linux Microservices LLM AI NeMo NIM Distributed Systems Reliability Testing

What you'll do

Own and drive end-to-end quality from design through release and production readiness.
Lead test strategy, planning, and execution across functional, integration, system, performance, and reliability testing.
Design, build, and maintain test frameworks and automation for microservice-based, containerized AI systems.
Provide technical leadership and mentorship to junior engineers on test design and automation practices.
Validate LLM and AI inference workflows, including model lifecycles, APIs, and scaling scenarios.
Drive defect triage, root-cause analysis, and quality metrics to ensure systematic issue resolution.
Leverage AI-assisted testing techniques to improve coverage and signal-to-noise in test results.

What we're looking for

BS or higher degree in CS/EE/CE majors or equivalent experience.
8+ years of experience in software development, test development, or quality engineering roles.
Strong proficiency in Python and test automation frameworks.
Experience testing distributed systems, microservices, or cloud-native platforms.
Solid understanding of Linux, Docker, Kubernetes, and CI/CD pipelines.
Proven ability to lead technically, review designs, and mentor other engineers.
Experience testing AI/ML platforms, LLM pipelines, or inference services (preferred).
Hands-on exposure to NeMo, NIM, or model-as-a-service platforms (preferred).