Embedded Systems Engineer, Neuromorphic Computing Bring neuromorphic and low-power compute into the Neural OS — hardware that has to run at the edge, on operators and platforms. What you’ll do Implement on-device inference and I/O, profile power and latency, and partner with ML engineers so models actually fit the silicon. What you’ll bring Embedded C/C++, RTOS or bare-metal, and comfort with constrained hardware. Neuromorphic, FPGA, or ARM experience is a strong plus. #J-18808-Ljbffr
Embedded Systems Engineer, Neuromorphic Computing — Manchester/Los Angeles employer: Neuro DOCTRINE
As an On-Device ML Engineer at our innovative company, you'll be part of a dynamic team that values creativity and collaboration in the heart of Manchester or Los Angeles. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship, alongside competitive benefits that enhance your work-life balance. Join us to make a meaningful impact in the field of federated learning while enjoying the unique advantages of working in vibrant, tech-forward locations.
