Summary
✨ AI‑Generated
An established product development consultancy is seeking a Senior Embedded Software Engineer to create intelligent connected products from concept through production. You will develop firmware in C and C++ with Python, bring machine learning and machine vision to microcontrollers and embedded Linux, work directly with clients, and help define software architecture.
Highlights
Work across medtech, industrial, and consumer products while taking intelligent connected devices from concept to production. The role offers a strong opportunity to shape edge AI development and apply machine learning directly on embedded hardware.
Description
An established, highly respected product development consultancy in Cambridge is looking for a Senior Embedded Software Engineer to join its Electronics and Software group.
You'll work on a wide range of client products across medtech, industrial and consumer sectors, taking ideas from first concept through to production.
The company is at an exciting stage in its edge AI journey, building intelligent devices that run machine learning on the hardware itself, with no reliance on the cloud.
It's a genuine opportunity to help shape how the business develops and delivers edge AI.
What you'll be doing
Designing and developing embedded firmware in C and C++, with Python, for intelligent, connected productsBringing machine learning and machine vision onto embedded hardware, from microcontrollers to embedded Linux platformsWorking directly with clients to understand their needs, define requirements and shape technical solutionsDefining software architecture, features and functional requirementsPresenting and explaining technical work to both technical and non-technical audiencesWriting high-quality, production-ready code using modern tools and practices, including unit testing, CI and regression testing
What we're looking for
Strong commercial experience in embedded firmware development (C/C++) on Arm-based microcontrollers or processorsSome hands-on machine learning or computer vision experience, either commercially or through personal projects.
TensorFlow, TensorFlow Lite, PyTorch or OpenCV are all relevant.Good software engineering practices: unit testing, continuous integration and version controlConfident communication skills and comfort working with clientsA degree in Electronic Engineering, Computer Science or a related subject
Nice to have
NVIDIA Jetson or similar edge AI platformsWireless (BLE, Wi-Fi, cellular, low-power radio) or wired comms (CAN, SPI, I2C, RS485)Low-power or battery-powered systemsReal-time signal processing and filteringMedical device development (IEC 62304)Embedded Linux and embedded security
Why apply?
Varied, technically challenging projects across multiple industriesThe chance to shape a growing edge AI capabilityA collaborative, open engineering culture with a great team28 days' holiday plus bank holidaysCompany bonus, enhanced pension and private healthcareEnhanced family-friendly policies and life insuranceEV and cycle-to-work schemes, on-site parking and regular social events
You don't need to tick every box.
If you're a strong embedded engineer with a real interest in machine learning, and you've explored it through work or your own projects, we'd love to hear from you.
Apply now, or contact Will Walpole at Retelligence on 07304 359110 or will@retelligence.co.uk for a confidential chat.
