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

Apply Now

Senior Embedded Software Engineer - UEFI

Verso Recruitment Group
Reading
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Computer Vision Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Computer Vision Engineer

Senior Computer Vision Engineer

Senior Data Scientist

Are you looking for a UEFI-oriented Senior/Principal Embedded Software Engineer role in the Berkshire area?

My client is a well-established company that designs and manufactures a range of complex high-speed products used in a wide variety of applications and industries.


They are happy to offer the right candidates UK visa sponsorship and relocation assistance.


The Role - Senior/Principal Embedded Software Engineer - UEFI

As an Embedded Software Engineer, you will be responsible for the delivery of the BIOS, BSPs, and additional software for the company's new and existing products.


Key Responsibilities - Senior/Principal Embedded Software Engineer - UEFI

  • Design, develop and maintain the software in the UEFI BIOS.
  • Board Support Packages for cutting-edge Intel processor-based boards.
  • Middleware, system and device driver software for Linux, Windows, VxWorks and other standard operating systems.
  • Support in the definition of product and software architecture
  • Taking a hands-on approach to early hardware bring-up


Required Experience - Senior/Principal Embedded Software Engineer – UEFI

  • Experience in developing UEFI BIOS
  • Proficient in Embedded C programming for x86, PowerPC or high-performance ARM processors.
  • Practical experience programming a variety of hardware devices at register level.
  • Good appreciation of hardware.
  • Excellent problem-solving and debugging skills.


Desirable, non-essential experience - Senior/Principal Embedded Software Engineer – UEFI

  • Experience developing low-level, embedded software for Linux or a similar operating system.
  • Familiarity with agile development methodologies and version control systems like Git
  • Experience in leading technical projects or working as a technical lead in software development
  • Ability to drive technical decisions and provide input into the future direction of the platform’s architecture.


This role offers hybrid working on a weekly basis.


If you have any specific questions about this Senior/Principal Embedded Software Engineer – UEFI role, please contact Cathy Swain.

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.