Senior SWQA Test Automation Engineer - Equity Options

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 168,000 - 322,000

Full time

14 days+
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Job summary

NVIDIA is seeking a senior test development engineer to drive quality, automation, and technical leadership across AI microservices. The role focuses on end-to-end quality, test strategy, and scalable automation for containerized systems.

You will lead test design, mentor engineers, and collaborate with cross-functional teams to improve architecture and testability in production-like environments. The role includes optimizing coverage with AI-assisted testing techniques.

Qualifications

  • BS or higher in CS/EE/CE or equivalent experience.
  • 8+ years in software development, test development, or quality engineering.
  • Proficient in Python and test automation frameworks.
  • Experience with distributed systems, microservices or cloud-native platforms.

Responsibilities

  • 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 micro-service-based environments.
  • Provide technical leadership and mentorship to less senior engineers.
  • Partner with cross-functional teams to influence architecture and testability.
  • Validate LLM/AI inference workflows, deployment configurations, and scaling scenarios.

Skills

Python
Test automation

Education

BS or higher in CS/EE/CE

Tools

Linux
Docker
Kubernetes
CI/CD

Job description

NVIDIA is seeking a senior test development engineer to drive quality, automation, and technical leadership across AI microservices. The role focuses on end-to-end quality, test strategy, and scalable automation for containerized systems.

You will lead test design, mentor engineers, and collaborate with cross-functional teams to improve architecture and testability in production-like environments. The role includes optimizing coverage with AI-assisted testing techniques.

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