Software Development Engineer in Test

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.

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.

Responsibilities:

• 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.

Requirements:

• 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.

Benefits:

• Equal opportunity employer with a diverse and supportive environment
• Reasonable accommodation for individuals with disabilities