Senior Embedded Engineer

5 Days Old

Senior Embedded AI Engineer - Low-Power AILocation:Bay Area, CA (Hybrid – 2–3 days onsite)Salary Range:$160,000 – $185,000 base + performance bonus + equityThis opportunity is with a company building the next generation of intelligent, low-power devices.They are seeking a Senior Embedded AI Engineer with deep experience in TinyML and constrained hardware to join their growing engineering team.This is a fantastic opportunity for someone who thrives at the intersection of machine learning and embedded systems - where every cycle and milliwatt matters.As a Senior Embedded AI Engineer, you’ll:Design, optimise, and deploy TinyML models on ultra-low-power microcontrollers and edge devices.Work hands-on with ARM Cortex-M, RISC-V, DSPs, and custom accelerators.Apply quantisation, pruning, and compression techniques to make ML models fit within tight hardware limits.Collaborate closely with hardware and firmware teams to bring production-grade AI solutions to life.Benchmark and profile for latency, energy consumption, and memory efficiency.The Ideal Candidate5+ years of experience in embedded systems / AI deployment.Strong programming skills in C++ and Python.Experience with TinyML frameworks (TensorFlow Lite Micro, CMSIS-NN, TVM).Proven work in resource-constrained environments (low memory, low power, battery-operated devices).Bonus: background in time-series data, anomaly detection, or sensor fusion.Why This Role?Work with a forward-thinking client at the cutting edge of low-power Edge AI.Competitive package including equity and benefits.Join a highly collaborative Bay Area team where your contributions have direct product impact.Be part of shaping the future of AI that runs anywhere - even on the smallest devices.We are an Equal Opportunities Employer and welcome applications from all qualified candidates. #J-18808-Ljbffr
Apply
Location:
Bristol, England, United Kingdom
Job Type:
FullTime

We found some similar jobs based on your search