Linux Software Engineer

Reading

10 months ago

Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Machine Learning Engineer

Data Scientist - UKIC DV Clearance Required

Role Overview
We are looking for an experienced Linux Software Engineer to support the development of software for our scanner. This role requires strong expertise in C++ and Python, as well as
experience interfacing with cameras, smart cards, and HID devices. The engineer will contribute to the design and implementation of scanning, image capture, user interface, and peripheral communication functionality.

Key Responsibilities
• Develop and maintain Linux-based software for passport scanning devices
• Implement image acquisition and processing functionality using Video4Linux (V4L2)
• Integrate with Human Interface Devices such as buttons, LEDs, and sensors
• Manage smart card interactions using PCSC
• Design and implement GUI components using GTK
• Optimize performance for real-time image capture and processing
• Troubleshoot hardware/software integration issues in a Linux environment
• Document technical designs, APIs, and user guides
• Collaborate with cross-functional teams including hardware, QA, and support

Required Skills & Experience
• Proficient in C++ and Python development on Linux
• Experience with Video4Linux (V4L2) for camera and image capture
• Knowledge of for user input/output hardware
• Experience using PCSC for smart card communication
• Hands-on experience with OpenCV for image processing and computer vision
• GUI development experience with GTK
• Strong debugging and profiling skills in Linux
• Familiarity with device drivers, USB interfaces, and low-level hardware interactions
• Comfortable using Git and build systems like Make or CMake Public

Desirable Skills & Experience
• Previous experience developing software for ID readers, ID scanners, or similar
embedded devices
• Knowledge of ICAO standards and e-passport technologies (e.g., MRZ, RFID chip access)

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

Industry Insights

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

Apr 8, 2026

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Mar 24, 2026

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.