AI Research Scientist – Photonic & Neuromorphic Computing

Axiomatic AI is building advanced AI systems that integrate deep learning with formal logic and physics-based modeling. The AI Research Scientist will design algorithms and frameworks for non-traditional computing platforms, collaborating with researchers and engineers to develop scalable solutions.

Responsibilities:

• Develop simulation and digital-twin tools that capture physical effects such as nonlinearities, noise, and precision limits, enabling hardware-aware algorithm development
• Work closely with internal AI, software, and hardware teams to ensure tight alignment between algorithms, system constraints, and long-term platform goals such as automation of scientific workflows
• 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
• Evaluate system-level performance tradeoffs, conduct benchmarking studies, document results, and contribute to technical decision-making across Axiomatic’s R&D portfolio