Embedded AI Software Engineer (Hardware Integration) in Cambridge

Embedded AI Software Engineer (Hardware Integration) in Cambridge

Cambridge Full-Time 54000 - 66000 Β£ / year (est.) No working from home possible
Quell

At a Glance

  • Tasks: Join a dynamic team to develop AI software for innovative defence and security solutions.
  • Company: Exciting British start-up at the forefront of AI technology.
  • Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
  • Other info: Fast-paced R&D environment with significant autonomy and career advancement potential.
  • Why this job: Make a real difference in defence tech while working on cutting-edge projects.
  • Qualifications: Experience in software engineering, particularly in ML and embedded systems.

The predicted salary is between 54000 - 66000 Β£ per year.

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.

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Embedded AI Software Engineer (Hardware Integration) in Cambridge employer: Quell

Quell is an exceptional employer, offering a dynamic work environment at the cutting edge of defence and security AI technology. Located near Cambridge, employees benefit from a collaborative culture that values legal expertise as a strategic partner, fostering professional growth and providing opportunities to influence key business decisions. With a focus on innovation and compliance in a rapidly evolving industry, Quell empowers its team members to make a meaningful impact while enjoying a supportive atmosphere that encourages agility and emotional intelligence.

Quell

Contact Details:

Quell Recruitment Team

We think you need these skills to ace Embedded AI Software Engineer (Hardware Integration) in Cambridge

Embedded Development
Machine Learning (ML)
Mobile Development
Prototyping
Product Lifecycle Management
R&D Environment Experience
Autonomy in Technical Domains