Embedded Linux Software Engineer

Intellectual Capital Resources; Greater London; Hybrid; GBP 59,000 - 99,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Intellectual Capital Resources, based in London, seeks an experienced Embedded Software Engineer to power high-speed networking and photonics-based systems. This role offers a hybrid working model and collaboration with hardware and systems teams to deliver core embedded software and Linux driver solutions.

The ideal candidate has strong Linux experience, kernel/PCIe development skills, and proficiency in C/C++, Python, with ARM familiarity.

Qualifications

• Strong experience with Embedded Linux development.
• Experience developing Linux kernel or PCIe drivers.
• Proficiency in C, C++ and Python.
• Experience working on ARM or soft-processor-based systems.
• Exposure to networking systems, HPC or data centre technologies.

Responsibilities

• Support the development of embedded and host software for high-speed networking and photonics-based systems.
• Work closely with hardware and systems teams.
• Contribute across embedded software, Linux driver development and low-level system integration on advanced networking platforms.

Skills

Embedded Linux

Linux kernel/PCIe drivers

C

C++

Python

ARM

Networking/HPC exposure

Job description

Salary: £59,000 - 99,000 per year

Requirements:

• Strong experience with Embedded Linux development
• Experience developing Linux kernel or PCIe drivers
• Proficiency in C, C++ and Python
• Experience working on ARM or soft-processor-based systems
• Ideally, exposure to networking systems, HPC or data centre technologies

Responsibilities:

• Support the development of embedded and host software powering high-speed networking and photonics-based systems
• Work closely with hardware and systems teams
• Contribute across embedded software, Linux driver development and low-level system integration on advanced networking platforms

Technologies:

• AI
• ARM
• Embedded
• Hardware
• Support
• Linux
• PCIe
• Python
• C++

More:

We are a cutting-edge AI networking company based in London with a hybrid working model. We are developing next-generation networking technology designed to accelerate AI/ML and high-performance computing workloads while dramatically reducing energy consumption. This is an innovative deep-tech engineering environment focused on advanced networking and photonics technology.

last updated 36 week of 2026