Remote Embedded Linux Kernel Engineer

Circuit32 Recruitment Solutions Ltd; Gloucester; Remote; GBP 54,000 - 90,000; Full time

Job summary

Circuit32 Recruitment Solutions Ltd is seeking an Embedded Linux Engineer to join a small engineering team. You’ll work at kernel level, bringing up hardware and writing drivers that make it work; the role is remote with occasional travel to Cheltenham.

You’ll tackle Linux kernel drivers, board bring-up, U-Boot, device tree, BSP work, and performance optimisations on resource‑constrained platforms, collaborating with hardware engineers.

Qualifications

• Commercial experience of Linux kernel development on embedded targets.
• Track record of writing and debugging device drivers (I2C, SPI, UART, GPIO, DMA, platform drivers).
• Strong C with solid grasp of kernel internals: memory management, interrupts, concurrency.
• Hands-on board bring-up and device tree experience on ARM platforms.
• Comfortable with Yocto or Buildroot.

Responsibilities

• Developing and maintaining Linux kernel drivers for custom hardware and software.
• Board bring-up, including bootloader (U-Boot), device tree and BSP work.
• Debugging low-level issues across the hardware/software boundary.
• Optimising performance, power and boot time on resource-constrained platforms.
• Working closely with hardware engineers on new designs.

Skills

Linux kernel development

Device drivers (I2C

Device drivers (SPI

Device drivers (UART

Device drivers (GPIO

Device drivers (DMA

Platform drivers

C programming

Kernel internals (memory management

Interrupts

Concurrency

ARM board bring-up

Device tree

Yocto

Buildroot

U-Boot

Tools

Yocto

Buildroot

U-Boot

Job description

Circuit32 Recruitment Solutions Ltd is seeking an Embedded Linux Engineer to join a small engineering team. You’ll work at kernel level, bringing up hardware and writing drivers that make it work; the role is remote with occasional travel to Cheltenham.

You’ll tackle Linux kernel drivers, board bring-up, U-Boot, device tree, BSP work, and performance optimisations on resource‑constrained platforms, collaborating with hardware engineers.