We're looking for a talented Linux Kernel Engineer to help build the foundation of our next-generation AI accelerator platform. In this role, you'll design and optimise PCIe drivers, DMA engines, memory subsystems, and kernel-firmware communication paths that power high-performance AI and ML workloads. You'll work closely with firmware, silicon, runtime, and datacenter software teams to deliver a robust, scalable kernel architecture built for modern AI infrastructure.
What You'll Do
Develop PCIe kernel drivers, DMA pipelines, interrupts (MSI/MSI-X), and memory management for AI accelerators
Build kernel interfaces (sysfs/debugfs) for telemetry, configuration, and observability
Support multi-die/chiplet topologies, power/thermal management, and RAS mechanisms
Optimize kernel performance for low-latency, high-throughput AI workloads
Collaborate with runtime teams on kernel-userspace APIs and device orchestration
What We're Looking For
5+ years developing Linux kernel drivers and subsystems in C
Strong experience with PCIe, DMA, interrupts, and Linux memory management
Hands-on with kernel debugging tools (ftrace, perf, kprobes, crash)
Ability to work with hardware/RTL teams and interpret hardware specs
Experience with accelerators, GPUs, RDMA, or distributed timing is a plus
Familiarity with kernel upstream processes and secure, reliable driver design
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