Senior Software Engineer, Test Infrastructure Development

What you’ll be doing

• Develop industry-standard IDEs and platforms to automate and intelligentize diagnostic creation, verification, validation, and release for NVIDIA system-level products, including GeForce, Quadro, HGX, and DGX.
• Build universal test frameworks to standardize diagnostic structures, workflows, metadata, and release processes across NVIDIA products.
• Develop and maintain diagnostic management systems to handle, optimize, and automate the release process for NVIDIA board and system products.
• Design and implement AI‑assisted tools and workflows to improve engineering productivity, including AI‑powered search, code generation, documentation assistance, log analysis, test result summarization, workflow automation, and intelligent troubleshooting.
• Apply modern AI technologies, including LLMs, RAG, agents, function calling, semantic search, and workflow orchestration, to upgrade TSG’s infrastructure platforms and internal engineering tools.
• Work closely with Test Development Engineering, Product Development Engineering, Software Engineering, and Operations teams to solve sophisticated infrastructure, security, automation, and development challenges.
• Explore and evaluate new AI tools, frameworks, and development practices, and apply them pragmatically to improve software delivery, test infrastructure, and manufacturing support workflows.

• BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience, with 5+ years of related software development experience.
• Strong understanding of full‑stack application development, including frontend, backend, database, deployment, and system integration.
• Excellent Python programming skills and bash scripting experience.
• Solid experience with database design, including crafting schemas from scratch, writing efficient queries, understanding execution plans, and applying indexes effectively.
• Familiarity with JavaScript, React, CSS, and HTML.
• Experience with yarn or npm is required.
• Type Script, Create React App, Webpack, or modern frontend build systems are strong pluses.
• Background with authentication and security concepts, including NTLM, OAuth, JWT, role‑based access control, and secure API design.
• Familiarity with best software development practices, including documentation, testing, code review, CI/CD, containerization, and reliable production deployment.
• Hands‑on experience using AI tools to improve software development productivity, such as coding assistants, AI‑based debugging, documentation generation, test generation, or workflow automation.
• Practical understanding of AI application development concepts, such as LLM APIs, prompt engineering, retrieval‑augmented generation, vector databases, AI agents, tool/function calling, and model evaluation.
• Passion for using AI to modernize engineering workflows, automate repetitive processes, improve internal tools, and unlock new productivity for cross‑functional teams.

• Experience working with manufacturing test, hardware diagnostics, lab automation, product validation, or large‑scale engineering operations.
• Background with building AI‑powered internal tools, developer productivity platforms, chatbots, agents, or automation systems.
• Experience integrating enterprise data sources, internal APIs, documentation systems, logs, or test databases into AI‑assisted workflows.
• Experience with vector search, embeddings, RAG pipelines, Lang Chain/Llama Index‑style frameworks, or custom AI orchestration services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level3, and 152,000 USD - 253,000 USD for Level
4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July
24, 2026.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal‑opportunity employer. We do not discriminate 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.