Job Description

NVIDIA is seeking elite ASIC RTL/Verification ASIC engineers to develop the core Verification and RTL infrastructure of leading GPUs, impacting areas from consumer graphics to AI and self-driving cars.

Requirements

Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience
8+ years of relevant work experience
Programming proficiency in Python, Perl, or other Systems Programming language
Experience with Make based build systems in large, distributed computing environments
Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins
Tenacity to root cause and fix Infrastructure problems
Verification domain knowledge with complex ASICs or CPUs
Strong problem-solving, debugging and analytical skills
Good interpersonal skills and desire to work as a great teammate

Responsibilities

Define and deploy ML/AI techniques to improve Infrastructure efficiency and support
Improve the speed, flexibility and extensibility of the GPU front end build flow
Keep the GPU Continuous Integration system at the cutting edge of industry techniques
Guide compute farm, filer, and network topology requirements
Deploy new compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at scale
Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity
Deploy information security methods for HW design
Remove inefficiency wherever you can find it