Linux Kernel Engineer

2 weeks ago

Dubai, Dubai, United Arab Emirates Charterhouse Middle East Full time $120,000 - $150,000 per year

Competitive Salary

Charterhouse are partnered with a pioneering tech company specializing in AI-optimized server hardware, that is currently looking to hire a highly skilled Linux Kernel Engineer to join their growing team. This role offers an incredible opportunity to work at the forefront of AI infrastructure innovation, contributing to powering next-generation machine learning workloads.

The Linux Kernel Engineer will play a key role in designing and implementing core kernel components that enable seamless communication between host systems and AI accelerators. The role involves developing PCIe kernel drivers, DMA engines, and memory management systems to support high-throughput, low-latency data movement. Engineers will also build interrupt handling protocols, comprehensive sysfs/debugs interfaces for device configuration, telemetry, and diagnostics, and multi-die orchestration mechanisms to support scalable deployments across data centers.

The position requires close collaboration with firmware, silicon, runtime, and software architecture teams to ensure robust integration across the stack. Additional responsibilities include reliability engineering, power management and thermal control integration with Linux PM frameworks, kernel-space performance optimization for AI workloads, and managing efficient runtime partnership. The engineer will also contribute to time synchronization protocols (PTP/PHC) and future-ready virtualization features.

The ideal candidate will have at least 5 years of experience developing Linux kernel drivers in C for SoCs or accelerators, and a strong background in PCIe device driver development, DMA mapping, and IOMMU integration. Proficiency in kernel synchronization, interrupt handling, and debugging tools is essential. Candidates should be comfortable reading hardware specifications and working with cross-functional teams on register-level interfaces.

Preferred qualifications include experience with AI/ML accelerator drivers, RDMA subsystems, PTP/PHC timing, multi-die topologies, and upstream kernel contributions. Familiarity with container integration, kernel security, and performance tuning for compute-intensive workloads will be considered a strong advantage.

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