Graduate R&D Software Engineer in Cambridge

Graduate R&D Software Engineer in Cambridge

Cambridge Full-Time 40500 - 49500 Β£ / year (est.) Home office (partial)
Quell

At a Glance

  • Tasks: Design and develop innovative software solutions in a fast-paced, hands-on environment.
  • Company: Join a high-growth British defence and security AI tech start-up near Cambridge.
  • Benefits: Competitive salary, dynamic work culture, and exposure to cutting-edge technology.
  • Other info: On-site role with excellent career growth opportunities in a collaborative team.
  • Why this job: Make a real impact while working on exciting projects that counter threats.
  • Qualifications: Recent STEM graduate with programming skills and a passion for problem-solving.

The predicted salary is between 40500 - 49500 Β£ per year.

Quell is a high-growth British defence and security AI technology start-up developing solutions to counter drone, vehicle, and human threats across the military, civilian and critical national infrastructure sectors. Based near Cambridge, we are seeking exceptional Graduate R&D Software Engineers to support a wide range of research and development activities. The role is ideal for an early-career engineer who enjoys variety, problem-solving, and working in a fast-paced, hands-on environment. It is an entry-level role with exposure to the full product development lifecycle. You will be provided with the opportunity to work with cutting-edge technology in a collaborative, dynamic environment.

Key Responsibilities

  • Designing and developing innovative software solutions in collaboration with the engineering team
  • Building tools and methods for data gathering, preprocessing, and optimisation for machine learning and algorithm development
  • Overseeing and maintaining operational company systems (Linux-based)
  • Contributing across a broad mix of R&D, software, data science, and technical problem-solving tasks

Requirements

  • Highly motivated, adaptable, and eager to learn across varied technical domains
  • Recent 2:1 (or above) graduate in a STEM discipline (e.g., Computer Science, Engineering, Physics, Mathematics)
  • Strong experience in at least one programming language (e.g., Python, Java, C++, etc.)
  • Analytical mindset with strong problem-solving skills and attention to detail
  • Experience with Python and familiarity with data science or machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Interest or experience in signals, RF, or SDRs
  • Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud)
  • Academic or project experience in ML, data science, or digital signal processing
  • Enthusiasm for working in a startup environment and taking ownership of initiatives

Details

  • Location: North Uttlesford / Greater Cambridge area, on-site
  • Five days a week on-site (ie: this is not a hybrid role)
  • Applicants must be fully eligible to work in the UK without restriction, time limit, or the need for current or future sponsorship.
  • Full UK driving licence required. If this isn't held, candidates will need to commit to obtaining within 6 months of their start date.

Graduate R&D Software Engineer 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 Graduate R&D Software Engineer in Cambridge

Software Development
Problem-Solving Skills
Attention to Detail
Programming Languages (Python, Java, C++)
Data Science
Machine Learning Libraries (scikit-learn, TensorFlow, PyTorch)
Linux Operating Systems