The NVIDIA GPU clocks group is looking for an excellent Senior ASIC Design Engineer to join the team. The team is responsible for crafting all aspects of GPU clocking. We collaborate with the frontend design team to understand the clocking requirements for the chip, and work with backend teams to understand the physical restrictions. The GPU clocks group architects, designs and validates the clocks RTL. The complexity of clocks RTL has increased many fold to support our features that power our product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.
What you’ll be doing:
As a Clocks team member, you will need to run and enhance some in-house flows to guarantee the good quality of clocks RTL and netlist, drive the issues to close.
You need collaborate with frontend team to make sure the clock structure follows some predefined rules.
And work with backend team to make sure the clock is distributed/routed correctly. We have some special check for transition/skew, etc.
You will use Perl/Python to improve the productivity.
What we need to see:
BS or (MS preferred) in EE with 4+ years of meaningful work experience.
Ability to thrive in a dynamically changing environment.
Strong coding skills in Perl or Python or other industry-standard scripting languages.
Deep understanding of sub-micron silicon issues like noise, cross-talk, and OCV effects is a plus.
Good understanding of backend flows and requirements is a plus.
DFT knowledge is a plus.
Experience in implementing on-chip clocking networks is desirable.
Ways to stand out from the crowd:
Excellent analytical and problem-solving skills.
Fluent English (both written and spoken) and excellent communication skills.
Good team work spirit, easy to cooperate with team members.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
