EDA Workflow Optimization Engineer

Overview

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

Doing what’s never been done before requires vision, innovation, and the world’s best talent. As an NVIDIAian, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

• Work in a diverse team performing fast-paced investigations to empower our engineers to develop at the speed of light.
• Participate in the full life‑cycle of tool development, test, and deployment.
• Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments.
• Build metrics that are reliable and easy to use by hundreds of engineers around the world.
• Continuously improve our chip development process.
• Directly contribute to the overall quality and time to market for our next‑generation chips.

• Strong experience investigating and debugging complex, multi‑discipline problems in a UNIX engineering environment.
• Hands‑on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on.
• Experience with ASIC, VLSI, CAD/EDA or mixed‑signal design workflow environments.
• Hands‑on experience with EDA tools.
• Experience in UNIX Systems programming and automation using Python and/or Shell.
• Authoritative level usage of UNIX and UNIX utilities.
• Excellent planning and communication skills.
• Experience in applying data analysis principles and influencing data‑driven decisions.
• Flexibility, adaptability working in a dynamic environment with changing requirements.
• BS in Computer Science or equivalent experience; MS (preferred).
• 5+ years of relevant experience.

• Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM).
• Hands‑on experience running GPU‑based workloads in a batch computing environment and a deep understanding of distributed system principles.
• Strong programming and debugging skills with C/C++, Python, and Perl on UNIX.
• A passion for improving engineering productivity and efficiency via a data‑driven philosophy.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 – $241,500 for Level 3, and $184,000 – $287,500 for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 26, 2026.

NVIDIA is committed to fostering a diverse work environment and is 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.