Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you passionate about automation, AI-assisted development, gaming technology, and improving software quality through thoughtful testing? If so, we have an excellent 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, deploy multi-agent AI systems to accelerate test workflows, and drive validation 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 its interactions with drivers, applications, and gaming-related technologies across Windows and Linux platforms.
Work actively with existing UI and automation tools by integrating internal and external APIs, and formulate and deploy multi-agent systems to optimize existing workflows and build new automated solutions.
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.
Expose defects and constraints; isolate and debug issues to find root causes, measure code coverage, and drive code coverage enhancements.
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 / M.S. 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 global development and test teams.
Strong programming experience in Python, including object-oriented programming, package management, debugging, logging, error handling, and automation framework development.
Working experience with databases and storage technologies like SQL, MongoDB, and Elasticsearch to support automation data and knowledge systems.
Proven track record to design, build, and deploying AI/ML and agentic AI solutions to accelerate automation development and testing workflows.
Strong familiarity with AI-native development tools (Codex, Claude Code, Cursor) and LLM APIs to improve engineering velocity.
Clear understanding of LLM failure modes, including hallucination and context degradation, along with prevention methods.
Good understanding of Windows and Linux operating systems, PC architecture, drivers, hardware/software interactions, PC gaming scenarios, and solving 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:
Extensive experience with automation based on artificial intelligence and custom agentic workflow development.
Development experience fixing regression bugs and implementing or enabling tests for CI/CD pipelines.
Experience with GPUs, graphics drivers, gaming technologies, or NVIDIA technologies such as DLSS, Frame Generation, Reflex, CUDA, G-Sync, or related areas.
Solid understanding of PC gaming ecosystems, including launchers, overlays, multi-monitor setups, display modes, input devices, performance tools, and compatibility scenarios.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Frequently asked questions
Is the Senior Tools Development Engineer position at NVIDIA remote?
The Senior Tools Development Engineer role at NVIDIA is an on-site or hybrid position.
What type of employment is the Senior Tools Development Engineer role?
NVIDIA is hiring for a full-time Senior Tools Development Engineer position.
What skills are needed for the Senior Tools Development Engineer job at NVIDIA?
Key skills for this role include Python, CUDA, LLM, SQL, GPU.
How do I apply for the Senior Tools Development Engineer position at NVIDIA?
You can apply for the Senior Tools Development Engineer role directly through NVIDIA's official application link provided on this page.
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