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

Apply Now

Principal Embedded Software Engineer

IC Resources
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Machine Learning Engineer

Principal Product Data Scientist

Principal Product Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Machine Learning Engineer

Join a growing AI & Networking start-up - London, Hybrid Working Model This growing start-up are committed to building disruptive technologies for AI and Machine Learning. Developing innovative solutions, this start-up aims to speed up training and inference whilst mitigating energy consumption. Having recently appointed a new Director of Engineering who comes with some serious pedigree,the next step is to grow out their engineering function, now seeking a Principal Embedded Software Engineer with experience of Linux device driver development. You will be responsible for the design and development of PCIe Drivers, embedded systems and embedded applications for AI networking solutions. For this Principal Embedded Software Engineer, we are looking for someone with: Strong experience of Linux device driver development (ideally some experience with Linux PCIe driver development) Deep understanding of embedded programming in C and C++ Understanding of computer architecture (CPU, SoC, ASIC, GPU) Any experience within network interface cards (NIC) is advantageous What Next? If youre an Embedded Software Engineer looking for an exciting new challenge within a great company, then please apply today to learn more For more information on this role, or any other jobs across; Embedded, Firmware, C++ Programming, Linux Kernel, Device Driver Development, then please contact me, Callum Allen today.

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.