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Job Description & How to Apply Below
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.
WhatYou’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
- 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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