Nvidia EDA Workflow Optimization Engineer 

United States, Texas 

824934957

NVIDIA reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics. As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide. You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will then guide teams to improve, and sometimes re-invent those flows. You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world. You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure. You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment. You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips!

What you’ll be doing:

• 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.

What we need to see:

• 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.

• Experienced 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/adaptabilityworking in a dynamic environment with changing requirements.

• BS in Computer Science or equivalent experience; MS (preferred).

• 5+yrs of relevant experience.

Ways to stand out from the crowd:

• 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 data-driven philosophy.