NVIDIA has continuously reinvented itself over two decades. Our invention of the
GPU in 1999 fueled the growth of the PC gaming market, redefined contemporary computer
graphics, and revolutionized parallel computing. More recently, GPU deep
learning ignited modern AI — the next era of computing. NVIDIA is a “learning
machine” that constantly evolves by adapting to new opportunities that are hard
to solve, that only we can address, and that matter to the world. This is our
life’s work, to amplify human imagination and intelligence.
As part of the CAD team, our engineers develop and support tools for all of
NVIDIA's semiconductor products. They also develop in-house tools in the area of
Design for Test (DFT) using C++, Python, and TCL. You will work on
infrastructure and software used to test our complex semiconductor devices.
Below are some of the team's activities. We are a diverse team needing someone
who is not afraid of a challenge. If this is you, come join us today.
What you will be doing:
* Be responsible for designing and managing the DevOps workflow for the
software team.
* Provide essential software, hardware, and lab support to ensure smooth
operations and resolve any critical issues.
* Architect highly automated and customizable design flows using software
engineering and AI Code Generation with modular design and object-oriented
techniques.
* Support development of tools using C++/Python/TCL.
* Work cross-functionally with DFT Methodology, Implementation, and design
teams with important DFT development tasks.
* Implement and maintain CI/CD pipelines for DevOps processes.
* Manage cloud infrastructure and on-premise systems for scalable and reliable
deployment.
* Troubleshoot and resolve system, network, and application issues.
What we need to see:
* A BE or BTech or MTech in Computer Science, Electronics Engineering,
Electrical Engineering, or equivalent experience.
* At least 2+ years of relevant work experience in DevOps, with a focus on
CI/CD,