Posted:
7/10/2024, 5:00:00 PM
Location(s):
Shanghai, China ⋅ Shanghai, Shanghai, China
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
Software Engineering
We are now looking for a SOCD Methodology Engineer! The NVIDIA System-On-Chip (SOC) team is seeking a top ASIC Methodology engineer who is interested in ASIC design as well as Flow development. This position needs to be passionate for methodologies and automations that enable crafting SOCs in the most efficient manner.
What you’ll be doing:
In this position, you will have the opportunity to be responsible for setup SOC methodology for building complex NV projects and interface directly with various unit team, Physical design, CAD, Package Design, Software, DFT and other teams. Additionally, you will be involved with defining and implementing in house EDA tools that would craft more efficient and flexible SOCs in future.
What we need to see:
BS (or equivalent experience) or MS (preferred) in EE/CS
3+ years industry experiences
Good at compartmentalization and tree dependency management
Cross domain capability, capable to using software technique to solve hard problems met in hardware design.
Strong scripting skills, Perl, Makefile Python are typical language we uses
Excellent analytical and Independent problem solving skills
Fluent English (both written and spoken) + excellent negotiation skills, to work with multi-functional groups and build consensus
Ways to stand out from the crowd:
C++ development experience
Database related project experience
Web Front End design experience
Tape out experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate on developing cutting edge methodologies to boost super complexed SOC design, we are here waiting to hear from you!
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality