Hardware Research Engineer

Location San Francisco
Discipline: AI & Machine Learning Jobs
Job type: Permanent
Salary: US$200000.00 - US$250000.00 per annum + equity
Contact name: Jake Whitcomb

Contact email: jwhitcomb@acceler8talent.com
Job ref: BBBH12309_1655216033
Published: 14 days ago
Startdate: 07/14/2022

Acceler8 talent is actively seeking a to join a start-up company that are building the most brain-like hardware for artificial intelligence on the planet. They have recently raised a large Series A from AI industry leaders to help bring their groundbreaking neural network accelerator to market.

Based in the Bay Area, but open to remote anywhere in the US.

As a Hardware Research Engineer, you will be the leading force of the development of in-memory computing cores to support novel learning algorithms. You will be designing circuit schemes to confront challenges associated with Non-Volatile memories.


  • MSEE with 5+ years industry experience or PhD in Electrical Engineering with a focus on in-memory computing with Non-Volatile memories
  • Extensive knowledge of novel NVMs (RRAM emphasis, PCM, STT-RAM)
  • Extensive knowledge off mixed signal design concepts
  • Deep experience modeling mixed-signal circuits
  • Proficiency with Pytorch and SOTA deep learning models

Bonus qualifications:

  • PhD in electrical engineering focused on in-memory computing with NVM
  • Led design of 2 or more in-memory computing with NVM

If you may be of interest, please apply here or you can email me at Jwhitcomb@acceler8talent.com