Senior Embedded Engineer

Weare5vtech; Bristol; Hybrid; GBP 118,000 - 138,000; Full time

Job summary

A leading technology firm is seeking a Senior Embedded AI Engineer to design and optimize TinyML models for low-power devices. This role involves working with cutting-edge technology in a collaborative team that has a direct impact on products. The ideal candidate should have over 5 years of experience in embedded systems and strong programming skills in C++ and Python.

Benefits

Competitive package including equity and benefits

Collaborative work environment

Opportunity to work with cutting-edge technology

Qualifications

• 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).

Responsibilities

• Design, optimise, and deploy TinyML models on ultra-low-power microcontrollers.
• Collaborate closely with hardware and firmware teams to bring AI solutions to life.
• Benchmark for latency, energy consumption, and memory efficiency.

Skills

Embedded systems / AI deployment

C++

Python

TinyML frameworks

Resource-constrained environments

Job description

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.