Senior Embedded Engineer

Senior Embedded AI Engineer - Low-Power AI Location:Bay Area, CA (Hybrid - 2-3 days onsite) Salary Range:$160,000 - $185,000 base + performance bonus + equity

This 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 Candidate

• 5+ 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.