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.
You will also be eligible for equity and benefits.
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.Skills Required
- 5+ years of software development, test automation, or software quality engineering experience
- Strong programming experience in Python, including object-oriented programming 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
- Good understanding of Windows operating systems, PC architecture, and gaming scenarios
- Strong problem-solving and debugging skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
