Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Firmware Engineer

Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer

Principal Data Scientist: AI, MLOps & Production Leader

Principal Data Scientist

Principal Machine Learning Engineer

Principal Data Scientist — Energy AI & MLOps Leader

Developing embedded firmware for ARM-based microcontrollers

An excellent opportunity for a skilled firmware developer to make an impact on a growing Cambridge company.

Working with ARM-based microcontrollers, your expertise in embedded software engineering will be crucial to expand the capability of the group and support the evolution of their sensor technology.

Together with colleagues in hardware design and data science, you would be working on firmware for applications, incorporating new features for low level test data, and the implementation, characterisation and analysis of new algorithms. You will be used to working to an ISO9001 framework and ideally you will also have experience with medical or automotive industry standards such as IEC 62304 and ISO26262.

Skills and experience you will need:

  • A good engineering or scientific degree from a well-respected university

  • Experience with developing bare metal, real-time firmware in C for ASICS or ARM-based microcontrollers such as STM32 and EFM32, and using tools such as: Keil, IAR, STM32CubeMX and Eclipse/gnu

  • Source code management systems such as Git and Perforce

  • Familiar with automated testing of firmware builds, as well as regression testing

  • Debugging using JTAG interface adapters and testing using oscilloscopes and logic analysers

  • Python

    Other advantageous skills include:

  • Development of Windows GUI applications in C#

  • Experience with Continuous Integration (CI) systems

  • Experience of digital or analogue hardware design

    You will also need full rights to work in the UK without time limit or sponsorship.

    Our client offers a friendly work environment that encourages your professional growth, along with a competitive remuneration package. They are based in modern facilities with free parking and good links to Cambridge city centre and London.

    Keywords: Firmware, Cambridge, ARM microcontrollers, STM32, EFM32, Python, C#, Principal, Senior, Bare Metal, Embedded, C, ASIC

    Another top job from ECM, the high-tech recruitment experts.

    Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

    Please apply (quoting ref: CV27311) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.