Senior Linux Kernel Engineer – HPC/AI Fabrics

Cornelis Networks

Linux Kernel Engineer developing high-performance AI and HPC fabric software. Responsible for optimizing drivers and collaborating with silicon architects in a global team.

Posted 7/2/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Design & Optimize Device Drivers: Develop, maintain, and upstream the open-source `hfi1` kernel driver and related subsystems (such as InfiniBand verbs and RDMA core).
Hardware-Software Co-Design: Partner closely with silicon architects and hardware developers to define register interfaces, MMIO pathways, command queues, and hardware-software contracts.
Develop Zero-Copy Data Paths: Design and optimize low-latency, high-throughput DMA and RDMA transport engines, minimizing buffer copies and maximizing CPU-bypass capabilities.
Debug Complex Kernel Concurrency: Identify and resolve intricate kernel-space race conditions, deadlocks, and memory issues under heavy multi-threaded, asynchronous networking workloads.
Upstream & Community Engagement: Actively submit patches, participate in code reviews, and represent Cornelis within the Linux Kernel Mailing List (LKML) and open-source networking communities.
Package & Build Automation: Maintain and optimize system build environments, kernel-module packages (DKMS, RPM, Kbuild), and automated integration tests.

Requirements

What you’ll need

BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent practical experience).
3+ years of professional experience writing production-grade C code inside the Linux kernel (kernel modules, LKM, memory management, or interrupt handlers).
Direct experience with RDMA, InfiniBand (IB) Verbs, RoCE, or high-performance user-space bypass frameworks (such as libfabric / OFI or DPDK).
Strong understanding of PCIe architectures, DMA engines, memory mapping (`mmap`), and MMIO.
Hands-on proficiency with kernel analysis tools including `KASAN`, `kmemleak`, `ftrace`, `tracepoints`, `kprobes`, and core crash dump analysis.
Proficiency in scripting languages (e.g., Python, Bash) for automated testing and performance profiling.

Benefits

Comp & perks

Health insurance
Paid time off
Flexible working arrangements

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Hard Skills & Tools

C ProgrammingKernel Module DevelopmentMemory ManagementInterrupt HandlersRDMAInfiniBand VerbsPCIe ArchitecturesDMA EnginesMMIOKernel Debugging