Senior Embedded Engineer

Senior Embedded AI Engineer - Low-Power AI

Location: San Francisco (Hybrid – 2–3 days onsite)

Salary Range: $160,000 – $200,000 base + performance bonus + equity

This opportunity is with a company that is 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.

• 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
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• 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
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• 5+ years of experience in embedded systems / AI deployment
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• Strong programming skills in C++ and Python
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• Experience with TinyML frameworks (Tensor Flow 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
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• Work with a forward‑thinking client at the cutting edge of low‑power Edge AI
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• Competitive package including equity and benefits
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• Join a highly collaborative team where your contributions have direct product impact
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• Be part of shaping the future of AI that runs anywhere – even on the smallest devices
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Take the next step in your career and apply today!

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• Mid‑Senior level

• Full‑time

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