Embedded AI Software Engineer (Hardware Integration)

Quell; Cambridge; On-site; GBP 65,000 - 90,000; Full time

Job summary

Quell, a British defence and security AI tech start-up near Cambridge, seeks exceptional Software Engineers to join a small, expanding team. You will work on prototypes to fully developed products, with significant autonomy across varied technical domains.

You will contribute to the full prototype-to-product lifecycle in a fast-paced R&D environment, applying ML, embedded, and mobile development skills on multiple projects.

Qualifications

• Strong academic background in a STEM discipline with a good degree.
• Demonstrated ability to solve difficult or ambiguous technical problems.
• Ability to work independently with minimal supervision.
• Willingness to learn new tools, languages and technologies quickly.
• Experience interfacing software with hardware or embedded systems.
• Familiarity with computer networking and ML concepts.
• Experience with deep-learning frameworks (TensorFlow, PyTorch).
• Understanding of machine learning, statistics, optimisation, or algorithm development.
• Experience developing mobile applications (iOS and/or Android).

Responsibilities

• Design and develop software for prototype and production-ready systems.
• Work across multiple projects, adapting to different challenges.
• Collaborate with engineers to integrate software with hardware and system components.
• Rapidly learn and apply new technologies for diverse R&D efforts.
• Contribute to problem-solving across the full development lifecycle.
• Support software used to control hardware platforms and sensors.

Skills

Python

Deep learning frameworks

Mobile development (iOS/Android)

Problem solving

Independent work

Networking knowledge

Hardware/embedded systems experience

Education

2:1 or higher in STEM (e.g., CS, Math, Physics, Engineering)

Tools

TensorFlow

PyTorch

Job description

Quell, a British defence and security AI tech start-up near Cambridge, seeks exceptional Software Engineers to join a small, expanding team. You will work on prototypes to fully developed products, with significant autonomy across varied technical domains.

You will contribute to the full prototype-to-product lifecycle in a fast-paced R&D environment, applying ML, embedded, and mobile development skills on multiple projects.