Location: Dubai, UAE
Employment Type: Full-Time
Salary: AED 30,000 – 40,000 per month
Industry: AI Hardware | High-Performance Computing

Charterhouse is partnered with a fast-growing technology company designing custom server hardware optimized for artificial intelligence and machine learning workloads. As part of its expansion within the AI hardware innovation space, the company is hiring a Linux Kernel Engineer to build and optimize the kernel foundations that power next-generation AI infrastructure.

This role is highly technical and hands-on, focused on kernel driver development, high-speed data movement, and performance optimization for modern datacenter and AI workloads.

Key Responsibilities

• Design and develop Linux kernel drivers for AI accelerators and custom hardware

• Implement PCIe device drivers, including enumeration, configuration, and management

• Develop and optimize DMA engines and memory management systems for high-throughput data movement

• Build interrupt handling, synchronization mechanisms, and mailbox communication protocols between kernel space and firmware

• Integrate power management and thermal control using Linux PM frameworks to balance performance and reliability

• Optimize kernel-space performance for AI training and inference workloads, focusing on latency, throughput, and scalability

• Work closely with firmware, hardware, and runtime teams to ensure seamless system integration

• Debug and analyze kernel-level issues using advanced Linux debugging and profiling tools

Requirements

• 5+ years of experience developing Linux kernel drivers and subsystems in C

• Proven experience with PCIe driver development, including DMA and device enumeration

• Strong understanding of Linux memory management, kernel synchronization primitives, work queues, and interrupt handling

• Hands-on experience with kernel debugging and performance tools such as ftrace, perf, crash, or similar

• Experience working with complex SoCs, accelerators, or custom hardware platforms

• Background in AI/ML accelerator drivers or GPU compute drivers is a strong advantage

• Strong problem-solving skills and ability to work in a performance-critical, low-level systems environment

Why Join

• Work on cutting-edge AI and machine learning hardware platforms

• Influence kernel architecture and performance at a foundational level

• Join a rapidly scaling technology company in the AI infrastructure space

• Competitive salary package and long-term growth opportunities