Software Engineer – AI/HPC Middleware

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Cornelis Networks

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔧 Hardware

🏢 Enterprise

💰 $29M Series B on 2022-11

Artificial Intelligence • Hardware • Enterprise

Cornelis Networks is a leading provider of intelligent, scalable, high-performance interconnects designed for AI applications. The company specializes in delivering end-to-end purpose-built high-performance fabrics to commercial, scientific, academic, and government organizations. Cornelis Networks’ solutions are aimed at enhancing performance, scalability, and efficiency across hyperscale, cloud AI, and on-premises AI/HPC environments. Their offerings are known for scalable architecture, high bandwidth solutions, and universal compatibility with accelerators and GPUs. Originating as an Intel spin-off, the company is positioned to challenge existing technologies like InfiniBand and Ethernet, providing advanced interconnects that power modern AI infrastructure.

📋 Description

• Implement and help optimize features for HPC middleware (HPI and SHMEM) and AI middleware (CCL stacks ie: NCCL/RCCL and related collective communication libraries) • Assist in integrating middleware capabilities with underlying transports and provider layers, including libfabric / OFI and UCX • Prepare and submit upstream contributions across MPI/SHMEM projects, CCL ecosystems, and related components • Collaborate with kernel/driver and switch teams to help deliver end-to-end performance aligned to the Cornelis product roadmap • Analyze performance traces and reproduce customer issues • Assist in translating findings into fixes • Grow expertise across drivers/kernel, switches, systems, and application/framework teams • Contribute to features, testing, and upstream open-source work

🎯 Requirements

• 2+ years of experience in systems programming in C/C++ on Linux • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience • Exposure to or coursework/project experience with HPC middleware, such as MPI/SHMEM • Exposure to or coursework/project experience with AI collective communication libraries, such as NCCL/RCCL and CUDA/ROCm, and/or other CCL stacks • Familiarity with performance concepts and ability to diagnose issues using profiling/tracing tools, or strong willingness to learn • Foundational understanding of networking and/or RDMA concepts • Experience contributing to open-source projects preferred • Exposure to libfabric providers preferred • Familiarity with Ultra Ethernet (UEC/UET) specifications preferred • Experience with RoCEv2, congestion control, and/or Ethernet-based RDMA deployments preferred • Experience with benchmarking, profiling, and optimization preferred • Background with Omni-Path/OPX or Ethernet-based HPC fabrics preferred

🏖️ Benefits

• Base salary • Performance incentives • Equity participation • Additional benefits, depending on geographic location • Paid holidays, depending on geographic location • Flexible work arrangements, depending on geographic location