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© All Rights Reserved. ApplyBlast.com
Normal Computing
The role involves defining silicon and system microarchitecture for Normal Computing's unconventional AI accelerator, translating AI workloads into custom mixed-signal compute tiles and memory hierarchies, and leading hardware/software co-design efforts. The engineer will work closely with compiler, RTL, and analog teams to create performance models, microarchitectural specifications, and ensure optimal throughput-per-watt for generative AI inference.
Headquarters
New York, New York, United States
Company Size
11-50 employees
Founded
2022
Normal Computing is an applied AI company solving the hardest problems in AI and silicon, founded by engineers from Google Brain, Google X, NVIDIA, Apple, and other frontier institutions. The company develops Normal EDA, an AI-accelerated electronic design automation platform that helps semiconductor teams accelerate RTL design and verification, and Normal ASICs, custom silicon built on novel device physics that delivers orders-of-magnitude more efficient AI inference. Normal Computing partners with the world's leading semiconductor design and manufacturing companies, with offices in New York City, San Francisco, London, and Copenhagen.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Normal Computing.
Normal Computing didn’t post a salary, so this is our estimate from similar listings.
29% below the average for this role