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Charterhouse are partnered with a young tech company who are designing and developing customised server hardware solutions optimised for artificial intelligence (AI) and machine learning applications.
Our client is in the middle of a significant growth phase within the AI hardware innovation space, and they are looking to hire for a Linux Kernel Engineer to deliver a kernel foundation that integrates with modern datacentre and AI workloads.
About the Role
The Linux Kernel Engineer will be responsible for designing and implementing PCIe kernel drivers for AI accelerator enumeration, configuration and management, while developing DMA engines and memory management systems that allow high speed data movement. The role will also build interrupt handling and mailbox communication protocols that create seamless coordination between kernel space and firmware stack.
Additionally, the role will develop power management and thermal control integration with Linux PM frameworks that optimise performance while maintaining reliability. Responsibilities include performance optimisation and runtime partnership. This would involve optimising kernel-space performance for AI workloads, focusing on latency, throughput, and scalability that directly impact model training and inference speed.
About You
The ideal candidate will have at least 5 years of experience developing Linux Kernel drivers and subsystems in C, for complex SoCs or accelerators. The candidate should have proven PCIe device driver development experience (enumeration, DMA), and strong knowledge of Linux memory management.
The successful candidate must have kernel synchronisation primitives, work queues and interrupt handling, and a solid understanding with kernel debugging tools such as ftrace, perf, crash etc. Experience with AI or Machine Learning accelerator drivers, or GPU compute drivers, would be highly beneficial.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.
