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We develop innovative products at the exciting intersection of High-Performance Real-Time Computing, Signal Processing and Machine Learning.

We are looking for:

  • a talented technologist – with a can-do attitude and a real thirst for building exciting new things and making technology work
  • a smart developer – who relishes getting their hands dirty at the core of state-of-the-art Signal Processing and Machine Learning algorithms
  • a keen learner – seizing the opportunity to push at the bounds of their understanding and cut their teeth in new and exciting areas.

We are looking for students undertaking a relevant academic degree or research experience, who are keen to start gaining experience in the industry.

What we can offer

You will be part of the Signal Processing and Artificial Intelligence Department within the Wireless and Digital Services Division. Examples of projects we have worked on in the past are:

  • ultra-reliable communications for satellites
  • IP block acceleration of Voice Activity Detection using custom in-house DSP cores, 
  • map based indoor navigation using sensor fusion,
  • next generation commercial radio receiver design,
  • development of the communication system for a fleet of moving bots in a challenging indoor environment.

Projects can start off as small, rapid studies and progress towards large multi-disciplinary systems which involve 50 engineers and more. Our work engages with a broad range of industries and applications but the underlying premise is of developing innovative and bespoke systems that cannot be bought off the shelf.

What you can bring

The range of projects on which we work each come with their own distinct set of challenges. We can offer the opportunity to get involved with everything from first-principles thinking and research through to the design, development and deployment of live systems, providing you with all of the support, mentoring and training you need. You’ll work as part of a team to achieve high-quality deliveries, compliant with the client’s requirements.

You’ll have the opportunity to play a real part in creating the Cambridge Consultants of tomorrow, working alongside a supportive team, developing our capabilities and driving the advancement of technology into the unknown.

We are looking for someone undertaking a degree in a relevant subject, such as engineering, computer science, mathematics or physics, and has:

  • Good software skills and experience in programming 
  • Strong mathematical aptitude and intuition
  • A passion for engineering and technology
  • An imaginative and inquisitive mind and eagerness to learn new skills

In addition, any experience of the following would be helpful, but certainly not necessary:

  • signal processing techniques and transforms (digital filters, Fourier analysis, z-transforms, matrix transforms etc.)
  • data analysis/modelling using languages such as Python or MATLAB
  • C or other low-level language
  • working with embedded hardware and tool chains

Why Cambridge Consultants?

Cambridge Consultants creates exciting and novel breakthroughs in technology and products. We help our clients achieve the kind of game-changing leap forward that will transform their whole business.

At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients.

We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. That means letting people pursue the projects that interest them and develop their career in whatever direction they choose.

We’re committed to promoting a diverse workplace. We believe that diversity can only flourish when everyone feels included and has a sense of belonging.

We value all people regardless of gender, age, disability, race, ethnic origin, parental status, language, religion, marital status or sexual orientation.