Neurophos
Neurophos is seeking an experienced machine learning engineer to develop advanced post‑training quantization methods for large language models, diffusion models, and other AI applications on their optical inference hardware. The role bridges cutting‑edge ML research with novel photonic hardware, enabling customers to deploy AI workloads efficiently on ultra‑high‑throughput, low‑precision compute engines.
We develop OPUs (optical processing units) that are 100x faster and 100x more energy efficient than current GPUs. Neurophos' OPUs compute massive matrix multiplications fully in-memory, with extremely high clock speeds
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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