Ai Research Scientist – Photonic & Neuromorphic Computing

Axiomaticai

Boston, United States
Competitive compensation; stock options plan; not ...
On-site
Ai algorithms and architectures
Simulation and optimization frameworks
Neuromorphic systems
Develop simulation and digital-twin tools that capture physical effects such as nonlinearities, noise, and precision limits, enabling hardware-aware algorithm development

Job Summary

  • Develop simulation and digital-twin tools that capture physical effects such as nonlinearities, noise, and precision limits, enabling hardware-aware algorithm development.
  • Design and prototype machine-learning architectures and physics-aware optimization workflows for neuromorphic systems, exploring how AI models can be efficiently mapped onto emerging hardware substrates.
  • Join a passionate team focused on solving some of the most challenging problems at the intersection of AI and hardware.

Matching Summary

Develop simulation and digital-twin tools that capture physical effects such as nonlinearities, noise, and precision limits, enabling hardware-aware algorithm development.

Salary

Competitive compensation; Stock Options Plan; Not specified

Skills & Requirements

Must-have

  • AI algorithms and architectures
  • simulation and optimization frameworks
  • neuromorphic systems
  • Python and modern ML frameworks
  • scientific computing and modeling

Nice-to-have

  • photonic computing systems
  • spiking neural networks
  • energy-efficient AI
  • hardware-aware ML
  • physical simulation tools

Key Requirements

  • PhD in relevant field
  • Strong ML and neural network background
  • Hardware-algorithm co-design experience
  • Expert-level Python proficiency
  • Solid understanding of scientific computing

Work Rights

Not specified

Tailored Resume

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