Job description

Requirements

  • Entry level
  • No Education
  • Salary to negotiate
  • Cambridge

Description

Graduate Software Engineer - Microcontrollers - Cambridge

Embedded Software Engineering is a rare skillset in the Medical Devices and Scientific Engineering sector. With this in mind, I'm working with a company that is willing to train well-educated Graduate Software Engineers in the field.

Based at their facility in Cambridge, you will be working on cutting edge technologies that are live improving and lifesaving. The work they do is truly at the forefront of their fields, meaning you will never be bored, and you will be challenged daily.

As training will be provided in this role, we are expecting a lot of interest, due to this the organisation is being very strict in the criteria of applicants. They are looking for people with a degree from a leading university and straight A's at A-Levels. If you also hold a PhD this would be advantageous, but not essential.

The software languages you would have learned at university would have been C or C++. You will ideally also have knowledge of Microcontrollers or Embedded Microprocessors, if you did not quite have the education background above but a lot of exposure to Microcontrollers or Embedded Microprocessors, we would still like to hear from you.

Apart from being trained into being an Embedded Software Engineer you will be continually learning the latest technology trends. This organisation will be fantastic for your career.

Apart from the training and industry insight, you will also be provided with an excellent salary and benefits package that includes a bonus, pension and relocation assistance (when needed).

For more information, please feel free to call Andrew Welsh, Director of Medical Devices recruitment and Scientific recruitment specialists Newton Colmore Consulting, on + or make an application and one of our team at Newton Colmore Consulting will contact you.

Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.

  • c++
  • due
  • education
  • recruitment
  • software