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NeuroDOCTRINE in Manchester is seeking an Embedded Systems Engineer specializing in neuromorphic computing to bring edge-friendly inference to the Neural OS. You’ll work on low-power hardware and partner with ML engineers to optimize models for the silicon.
You'll implement on-device inference and I/O, profile power and latency, and iterate with constrained hardware teams to deliver reliable performance. A strong background in embedded C/C++ and RTOS or bare-metal is essential.
Bring neuromorphic and low-power compute into the Neural OS — hardware that has to run at the edge, on operators and platforms.
Implement on-device inference and I/O, profile power and latency, and partner with ML engineers so models actually fit the silicon.
Embedded C/C++, RTOS or bare-metal, and comfort with constrained hardware. Neuromorphic, FPGA, or ARM experience is a strong plus.