
Flux Computing builds optical processors to speed up AI training and inference with lower energy use. They develop Optical Tensor Processing Units and other optical chips that rely on light-based circuits, integrated with supporting electronics and control software, and connected to AI frameworks. This positions them as a hardware provider for data centers and research environments handling large models. Category: B2B hardware for AI workloads; integrates with common AI frameworks and data-center tooling. The company targets scalable deployments in enterprises and labs pursuing advanced AI research and production workloads.

Flux Computing builds optical processors to speed up AI training and inference with lower energy use. They develop Optical Tensor Processing Units and other optical chips that rely on light-based circuits, integrated with supporting electronics and control software, and connected to AI frameworks. This positions them as a hardware provider for data centers and research environments handling large models. Category: B2B hardware for AI workloads; integrates with common AI frameworks and data-center tooling. The company targets scalable deployments in enterprises and labs pursuing advanced AI research and production workloads.
As our Engineering Manager, Embedded Systems, you’ll lead the team building the embedded layer that makes this breakthrough possible.
The Role You will lead and scale Flux’s Embedded Engineering team, responsible for the core systems that connect our optical hardware to the real world - from post-silicon validation and baseboard management to thermal and analog control. You’ll define technical strategy, drive execution, and help build one of the most technically ambitious teams in the industry.
Key Responsibilities
Skills & Experience In order to set you up for success as an Engineer Manager at Flux, we’re looking for the following skills and experience:
Compensation & Benefits