NVIDIA Logo

NVIDIA

Senior Software Development Engineer in Test

Reposted Yesterday
Be an Early Applicant
In-Office
Santa Clara, CA, USA
140K-270K Annually
Senior level
In-Office
Santa Clara, CA, USA
140K-270K Annually
Senior level
The role involves developing automated tests and tools for NVIDIA software, focusing on improving quality and efficiency through Python programming and AI-assisted development tools.
The summary above was generated by AI

Are you passionate about automation, AI-assisted development, gaming technology, and improving software quality through thoughtful testing? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, hands-on automation engineer with strong Python development skills, a quality-focused attitude, and the ability to understand complex software, hardware, and PC gaming interactions. The successful candidate will help build and maintain Python-based automation frameworks, use AI development tools to accelerate test creation and implementation, and contribute to manual test planning and execution for NVIDIA App, the successor to GeForce Experience and NVIDIA Control Panel.

As a Software Development Engineer in Test, you will develop automation, tools, and test coverage for NVIDIA software products, with a focus on improving quality, accelerating validation, and identifying defects early in the development lifecycle.

What you’ll be doing:

  • Design, implement, and maintain automated tests using Python for NVIDIA app and interactions with drivers, applications, and gaming-related technologies.

  • Use AI development tools such as Codex, Claude Code, Cursor or similar AI-assisted development tools to accelerate automation development, test generation, debugging, and workflow optimization.

  • Build and improve automation framework components, utilities, and tools that make test execution more reliable, scalable, and efficient.

  • Translate product documentation and feature requirements into test plans, automation coverage, and targeted hands-on validation for complex PC platform scenarios, including corner cases and obscure interactions across hardware, software, drivers, games, and system settings.

  • Debug automation failures, product defects, and platform issues to identify root cause and communicate findings clearly.

  • Write maintainable, reliable, and well-documented Python code. Participate in peer code reviews with feedback on correctness, scalability, maintainability, and performance.

  • Work closely with development, QA, and leadership teams to report progress, raise risks, and improve overall product quality.

What we need to see:

  • B.E./B. Tech degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

  • 5+ years of software development, test automation, or software quality engineering experience, including collaboration across development and test teams across the globe.

  • Strong programming experience in Python, including object-oriented programming, package management, debugging, logging, error handling, and automation framework development.

  • Hands-on experience building or maintaining automated tests, test tools, or automation infrastructure.

  • Working knowledge of AI-assisted development tools and workflows, including the ability to use coding agents or CLI-based AI tools to generate, modify, debug, and improve automation code.

  • Experience reading user documentation, product specifications, or feature requirements and developing test plans and test cases from them.

  • Good understanding of Windows operating systems, PC architecture, drivers, hardware/software interactions, PC gaming scenarios, and troubleshooting workflows.

  • Strong problem-solving and debugging skills, including the ability to isolate issues across automation, product code, operating systems, drivers, hardware configurations, and game/application behavior.

Ways to stand out from the crowd:

  • Experience with agentic AI development, including how agents are created, configured, prompted, evaluated, and integrated into engineering workflows.

  • Prior experience using Codex, Claude Code, or similar AI coding agents for real software development or test automation work.

  • Experience with GPUs, graphics drivers, gaming technologies, or NVIDIA technologies such as DLSS, Frame Generation, Reflex, CUDA, G-Sync, or related areas.

  • Strong knowledge of PC gaming ecosystems, including launchers, overlays, multi-monitor setups, display modes, input devices, performance tools, and compatibility scenarios.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
140,000 USD – 224,250 USD for Level 3; and 168,000 USD – 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 7, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

9 Days Ago
Hybrid
Foster City, CA, USA
205K-245K Annually
Senior level
205K-245K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Leads development of large-scale software and hardware-in-the-loop testing frameworks for autonomous vehicle systems. Designs CI pipelines, regression automation, log-mining tools, and performance dashboards; performs safety requirement gap analysis and validates safety-critical monitors. Conducts root-cause analysis for system failures and provides technical mentorship. The role requires deep HIL/SIL expertise, Python development, real-time systems knowledge, and experience with automated testing infrastructure.
Top Skills: BambooBuildkiteC++CanCi/CdDdsGenerative AiGmsl2GrafanaHilI2CJenkinsLinuxMachine LearningPytestPythonReal-Time Fault InjectionSilSpiSQL
27 Days Ago
In-Office
142K-170K Annually
Senior level
142K-170K Annually
Senior level
Automotive • Sales • Software
Own the company-wide test automation strategy and lead a TypeScript Playwright framework covering UI, API, and end-to-end testing. Use AI coding agents to expand coverage, triage failures, evaluate agentic testing, and improve test reliability. Integrate testing into CI/CD, define quality metrics, mentor test engineers, partner with developers on testable code, and manage test data, environments, reporting, and release gates.
Top Skills: .NetAzureAzure DevopsC#Claude CodeCursorGitGithub ActionsJavaScriptMstestNunitPlaywrightReactRest ApisSQLSveltekitTypescriptVitest
27 Days Ago
Remote or Hybrid
US
Senior level
Senior level
Mobile • Security • Software • Cybersecurity
Designs and maintains automated testing frameworks for AI-powered applications, APIs, backend services, and distributed systems. Defines test strategies, acceptance criteria, evaluation metrics, tolerances, and quality gates for deterministic and non-deterministic software. Builds regression, integration, API, and end-to-end coverage; evaluates LLMs, agents, prompts, and tool-calling workflows; integrates testing into CI/CD; analyzes failures, telemetry, and logs; reduces flaky tests; and partners with AI, engineering, and product teams on continuous quality practices.
Top Skills: Ai/Ml SystemsChatgptClaudeDockerGitGithub ActionsGithub CopilotGitlab CiJavaJavaScriptJenkinsKubernetesLlmsPostmanPythonRest ApisRest AssuredRetrieval-Augmented GenerationRustTestrailTool CallingTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account