Edge Computing Jobs in Glasgow

• Glasgow
• Hybrid · 2–3 days in office
• £40,000 – £65,000 pa
• Mid-level

Design, build and debug embedded software and firmware for aquaculture monitoring and control systems, including sensor integration, water quality and biomass devices in demanding marine environments. Work across the full lifecycle with hardware engineers, data scientists and aquaculture specialists, using Python and/or C/C++ on microcontrollers, RTOS and protocols like MQTT, LoRaWAN and I2C. Reports to the Head of Software, with 2-3 days a week onsite.

ARM Cortex-M · ESP32 · NVIDIA Jetson +7

• Glasgow
• Hybrid · 2–3 days in office
• Permanent

Design, develop, test and maintain embedded software in modern C++ for mission-critical systems, working in a collaborative Agile team. The role focuses on embedded Linux, multi-threaded and multi-process applications, and hardware interfaces such as SPI and I2C, with Python, CI/CD and secure coding as desirable extras.

C++ · Linux · Git +6

• Edinburgh
• Mid-level

Design, develop and debug compact, low-power wearable medical devices from concept to production, covering system architecture, component selection, schematic and multi-layer PCB design, prototyping and validation. Work spans analog, mixed-signal, RF and embedded circuits, precision optical sensor signal conditioning, and ultra-low-power battery and wireless connectivity (BLE, LTE-M, GNSS) integration, with a route to leading a hardware team.

Wi-Fi · BLE · LTE +7

• Glasgow
• On-site
• Entry level
• Internship

An AI-native intern joins the Glasgow team to prepare, optimise and deploy ML models onto S32N automotive MPUs, prototyping edge-AI use-cases and turning them into demos. The role involves writing modern code with AI coding assistants and automation, working with Python, git and optionally C/C++, alongside experienced engineers on real automotive silicon.

S32N · MPU · Git +1

• Glasgow
• Entry level

Join a Glasgow applications team working hands-on with S32N automotive MPUs and AI toolchains, preparing, optimising and deploying ML models onto real automotive hardware. You'll prototype on-device AI use-cases, write modern software with AI coding assistants and CI/CD, and act as a technical voice with global automotive customers.

PyTorch · TensorFlow · ONNX +3