Teams at Neurophos

The Principal Analog Design Engineer will design high-speed analog circuits and collaborate with teams to optimize performance in photonic AI systems.

Design, simulate, and optimize passive silicon photonic components for AI applications, collaborate with foundry partners and cross-functional teams.

Develop hardware-aware post-training quantization and model adaptation methods for LLMs, diffusion models, and other machine learning applications targeting optical inference hardware. The role involves numerical and constrained optimization, controlled experiments, research-quality implementations, model deployment across PyTorch, Triton, and JAX, GEMM optimization, and collaboration with hardware and software teams to co-optimize AI architectures. The engineer will also publish research while protecting company intellectual property.