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. #J-18808-Ljbffr
Edge Neuromorphic Embedded Systems Engineer 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.
