EDA System Software Engineer

Austin, TX

Full-time

Onsite

$120K/yr - $236K/yr

Entry, Mid Level

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. They are seeking an EDA System Software Engineer to craft and implement APIs and services that support the validation of NVIDIA's chip designs in a distributed cloud computing environment.

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Responsibilities

Build microservices that are reliable, scalable, and maintainable.
Improve the current system's ability to schedule and utilize resources, improve performance, increase reliability, and provide better throughput.
Design interfaces that are efficient and easy to use for hundreds of engineers throughout the world.
Join an agile and dynamic software development team with very high production quality standards.
Participate in the full life-cycle of tool development, test, and deployment.
Work closely with other team members and internal customers to understand their processes, requirements, and needs.
Directly contribute to the overall quality of and improve time to market for NVIDIA's next-generation chips.

Qualification

Required

Excellent software engineering skills, including applied knowledge of OOP, design patterns, distributed systems, multiprogramming, and microservices.
Skilled in Python and common service and/or multiprogramming-related packages.
BS in Computer Science (or equivalent experience); MS (preferred) and 2+ years of experience.
Excellent planning, presentation, and general communication skills.
The flexibility and adaptability to work in an exciting environment with changing requirements.
A passion for improving the productivity and efficiency of other engineers.

Preferred

Experience developing and deploying automated testing infrastructure.
Deep understanding of distributed and microservice architecture principles such as service deployments in various contexts including HPC clusters.
Experience with Linux ecosystems, including development and debugging tools.
Familiarity with chip design and/or other verification workflows or expertise in Perl, C/C++, JavaScript, or TypeScript.
Solid understanding of and experience with AI coding accelerators like Cursor or CoPilot.