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Extropic

Energy-efficient probabilistic silicon AI accelerator

Hardware Systems Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-time$90k - $250k /yrIn-person

About the Job

Requirements

  • Experience designing real-time digital signal processing systems using field-programmable gate arrays (FPGAs).
  • Experience developing and/or optimizing signal processing algorithms.
  • Experience with system verification and validation for efficiency and reliability.
  • Experience designing and testing with FPGAs, including experience with VHDL and/or Verilog.
  • Hands-on experience with oscilloscopes and logic analyzers.
  • Experience with printed circuit board (PCB) design and layout.
  • Familiarity with standard hardware protocols, including SPI, I2C, USB, PCIe, MIPI, and UART.
  • Strong programming skills, including Python and C.
  • Experience writing software or hardware description language (HDL) for highly parallelized hardware such as GPUs and FPGAs.
  • Experience and understanding of system-level implementation of complex algorithms.
  • Access to information controlled under U.S. export control laws and regulations requires authorization to receive controlled items as a condition of employment.

Responsibilities

  • Develop software and hardware solutions to accelerate software/hardware development.

Desired Qualifications

  • Partial overlap with the listed desired experience and skills is encouraged; candidates need not have all of them.

About the Company

Extropic

Energy-efficient probabilistic silicon AI accelerator

Extropic builds a silicon-based probabilistic chip and a full hardware platform to accelerate generative AI. It uses thermodynamic accelerated computing, turning natural matter fluctuations into computation to perform probabilistic tasks like Monte Carlo simulations. This approach distinguishes Extropic from traditional chips by focusing on physics-based, energy-efficient probabilistic processing and providing a complete hardware stack rather than just a component. The goal is to reshape AI hardware so large models can run more efficiently, with lower energy use and fewer bottlenecks.

Company size
11-50
Company stage
Seed
Total funding
$14.1M
Headquarters
Waltham, MA
Founded
2022

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