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© All Rights Reserved. ApplyBlast.com
Normal Computing
This role involves developing computational methods for AI inference on Normal Computing's unique stochastic, in-memory analog hardware. Candidates will co-design algorithms with hardware teams to optimize transformer and diffusion workloads, designing numerical methods that exploit thermal noise and physical dynamics. The position requires translating model workload insights into hardware constraints and rapidly prototyping solutions as the technology evolves from simulation to silicon.
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.
141% above the average for this role