Senior Embedded AI Engineer - Edge ML on ARM

Retelligence Ltd

Cambourne

On-site

GBP 70,000 - 100,000

Full time

2 days ago
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Benefits offered by this job

Company bonus
Enhanced pension
Private healthcare
EV / cycle to work
On-site parking
Social events

Job summary

Retelligence Ltd in Cambridge is seeking a Senior Embedded Software Engineer to lead embedded firmware design for intelligent devices. You’ll work across medtech, industrial and consumer sectors, shaping hardware-enabled ML on edge devices with no cloud reliance.

The role offers varied, technically challenging projects and a collaborative culture. You’ll collaborate with clients to understand needs, define requirements and craft robust software architectures, with modern tooling, testing and CI

Qualifications

  • Experience designing embedded firmware for ARM-based MCUs/SoCs.
  • Proficiency in C/C++ with Python where needed.
  • Background in ML or computer vision on embedded devices.
  • Strong engineering practices: CI, testing, version control.
  • Excellent communication with clients and colleagues.

Responsibilities

  • Design and develop embedded firmware in C/C++ with Python for connected products.
  • Bring ML and vision capabilities to embedded hardware from microcontrollers to embedded Linux.
  • Collaborate with clients to capture needs, define requirements and shape solutions.
  • Define software architecture, features and functional requirements.
  • Present technical work clearly to both technical and non-technical audiences.
  • Write high-quality, production-ready code with unit tests and CI.

Skills

Embedded firmware
C/C++
Arm-based MCUs
ML / Computer Vision
CI / unit testing
Client facing

Education

Bachelor's in Electronic Engineering or CS

Tools

TensorFlow
TensorFlow Lite
PyTorch
OpenCV

Job description

Retelligence Ltd in Cambridge is seeking a Senior Embedded Software Engineer to lead embedded firmware design for intelligent devices. You’ll work across medtech, industrial and consumer sectors, shaping hardware-enabled ML on edge devices with no cloud reliance.

The role offers varied, technically challenging projects and a collaborative culture. You’ll collaborate with clients to understand needs, define requirements and craft robust software architectures, with modern tooling, testing and CI

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