Neurophos is seeking an experienced ML engineer to develop post-training quantization methods for large language models and diffusion models on optical inference hardware. You will bridge ML research with novel hardware capabilities to deploy AI workloads on Neurophos devices.
The role emphasizes hardware-aware optimization, controlled experiments, and collaboration with hardware teams to co-optimize model architectures for optical compute characteristics.
#J-18808-LjbffrSenior ML Quantization Engineer for Optical Inference in sunnyvale at Unknown Company
This position is listed as full time and onsite.