senior Software Engineer ic 5-8 yrs Bachelor's · Posted Apr 20, 2026

About this role

Nvidia is hiring a senior-level Software Engineer based in Pune, India. The posting calls out experience with Performance Optimization, Python, Java, C# and roughly 5–8 years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Software Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Pune, India
Experience
5–8 years
Education
Bachelor's degree
Posted
Apr 20, 2026
AI Summary
Senior Software Automation and Tools Engineer designing and implementing test automation for NVIDIA GPU products using C#/Java/C++/Python. Requires 5-8 years programming experience, expertise with AI development tools for test case generation, and deep OS/hardware knowledge. Drives automation initiatives, builds testing frameworks, and mentors junior engineers.

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Job description

from Nvidia careers

Are you passionate about inspiring change, building data-driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative and hands-on software engineer with a test-to-failure approach who is a quick learner, can understand software and hardware specifications, and can build reliable tests and tools using C#/Java to improve quality and accelerate delivery of NVIDIA products.

What you’ll be doing:

As a Senior Software Automation and Tools Engineer, you will play a key role in the technical design and implementation of tests for NVIDIA software products, with the goal of identifying defects as early as possible in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role, you can expect to:

  • Contribute and drive automation initiatives. Build innovative ways to automate and expand our software testing.

  • Build tools, utilities, and frameworks in C#/Java/C++/ Python that automate and optimize testing workflows in the GPU domain.

  • Leverage AI development tools to accurately create robust test plans and automate test case generation, accelerating test automation, increasing code coverage, and facilitating early detection and precise resolution of bugs.

  • Develop automated end-to-end tests for NVIDIA device drivers and SDKs on the Windows platform. Execute automated tests, identify, report, and drive resolution of defects. Measure, analyze, and drive code coverage improvements.

    This is an excerpt. Read the full job description on Nvidia careers →
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