STEM Recruitment | Graduate Embedded Systems Engineer (Summer 2025 start)

STEM Recruitment
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Senior Data Scientist

Senior Machine Learning Engineer

Data Engineer - SC Cleared

Data Engineer - Active SC required

Data Engineer - Active SC required

Graduate Embedded Systems Engineer (Summer 2025 start)

Location:Cambridge

Salary:£35000


Job Sectors:Engineering / Electronics / Graduate / Embedded Systems / Communication Systems / Radio / Wireless Systems / Embedded Software


Our client is a designer and manufacturer of embedded hardware and software products, specialising in cellular and bespoke communication markets, serving clients worldwide.


They are looking for a graduate engineers to join their growing team to help design and manufacture software defined radio (SDR) based products. These include cellular base stations, scanners and other specialist radio equipment. They work across a range of technologies including embedded hardware and software, radio, digital signal processing (DSP), communication stacks and physical layers, and the entire product life cycle from concept through production and into deployment.


Job responsibilities:

  • Capturing system requirements (from customers), analysing those requirements & contributing to system designs as part of a project team.
  • Embedded software development, typically C/C++ on one of our hardware platforms,
  • Protocol stack development, again in C/C++,
  • Signal processing algorithm development, often in Verilog on an FPGA,
  • Design and development of a range of tools for use in-house and by customers,
  • Testing & debugging systems, including fixing bugs


Successful applicant will have:

  • At least a 2:1 degree or equivalent qualification in Engineering, covering one or more of: Electronics, Wireless Communications, Signal Processing, Software Engineering, or a comparable discipline from a good university,
  • Be familiar with at least one programming language, preferably C,


Desirable:

• digital signal processing and communication systems

• digital design using Verilog or VHDL

• mobile telephony systems, such as 5GNR, LTE, UMTS and GSM

• Matlab.


Key phrases: Graduate jobs Cambridge, Graduate engineering jobs, graduate electronic engineering jobs, Graduate embedded systems engineer jobs

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.