We develop innovative products at the exciting intersection of High-Performance Real-Time Computing and Signal Processing.
Are you
- 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 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
You will be part of the Signal Processing Department within the Wireless and Digital Services Division. Examples of projects we have worked on in the past are:
- ultra-reliable communications for satellites,
- next-generation broadband air-to-ground network,
- 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.
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 will work as part of a team to achieve high-quality deliveries, compliant with the client’s requirements.
You will 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.
What you can bring
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 advantageous, 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.
Benefits
Interns gain invaluable hands-on experience by working alongside our staff on real projects. It’s also a chance to show us what you can do – internships can sometimes lead to the offer of a full-time job once you’ve completed your studies, therefore we invite applications from people who may be interested in applying for a full-time job with us after their degree.
Some of our excellent benefits include a good salary (pro-rata), free canteen - lunches and refreshments, flexible working hours, and access to the social committee.
Future prospects
Cambridge Consultants is committed to developing its employees' careers and has a flexible policy for individual capabilities and preferences. Promotion is linked to merit.
Diversity Inclusion
Cambridge Consultants is a workplace where everyone is welcome. When the brightest minds come together and feel included, that’s when we develop the most important technology breakthroughs. We believe that diversity can only flourish when everyone feels involved and has a sense of belonging. We welcome and value all people regardless of their characteristics and encourage
