# EDA Workflow Optimization Engineer

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/1ad6068e-dce8-43f3-b6a5-ded92a2b949c

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Salary: 152000 – 287500 USD per year

## Summary

NVIDIA seeks an engineer to optimize the electronic design automation workflows that power their chip development process, working across storage, compute, and networking infrastructure to enable faster innovation. The role combines deep systems knowledge with software engineering to build tools and metrics that hundreds of engineers depend on worldwide.

_Our summary, not NVIDIA's wording._

## Skills named

Perl, Python, Unix, Very Large Scale Integration (VLSI)

## Required

- 5+ years of relevant experience
- Experience investigating and debugging complex problems in UNIX environments
- Hands-on experience with ASIC, VLSI, CAD/EDA or mixed-signal design workflows
- Hands-on experience with EDA tools
- UNIX systems programming and automation with Python and/or Shell
- Expert-level UNIX and UNIX utilities usage
- Strong planning and communication skills
- Data analysis and data-driven decision-making
- BS in Computer Science or equivalent experience

## Nice to have

- MS degree in Computer Science
- Experience with job schedulers (IBM Spectrum LSF or SLURM)
- Hands-on experience with GPU-based workloads in batch computing environments
- Strong programming and debugging with C/C++, Python, and Perl on UNIX
- Passion for engineering productivity and efficiency through data-driven approaches
- Deep understanding of distributed system principles

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/EDA-Workflow-Optimization-Engineer_JR2005386