Senior Software Engineer – AI/HPC Middleware

🔥 4 hours ago

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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 optimize features for HPC middleware (HPI and SHMEM) and AI middleware, including CCL stacks such as NCCL/RCCL • Integrate middleware capabilities with transport and provider layers such as libfabric/OFI, UCX, and applicable verbs-like semantics • Prepare and submit upstream contributions across MPI/SHMEM projects, CCL ecosystems, and related components • Collaborate with kernel/driver and switch teams to deliver end-to-end performance aligned with the product roadmap • Analyze performance traces and reproduce customer issues • Translate customer and field findings into fixes • Contribute to the design, development, and upstream enablement of AI/HPC communication middleware • Drive performance, correctness, and deployability across real customer workloads

🎯 Requirements

• 6+ years of experience in systems programming in C/C++ on Linux • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience • Hands-on experience with HPC middleware internals, including Open MPI, MPICH, MVAPICH, and/or SHMEM • Experience optimizing AI collective communications, including NCCL/RCCL, CUDA/ROCm, and/or other CCL stacks • Ability to deliver low-latency/high-throughput communication paths • Ability to diagnose performance issues using profiling and tracing tools • Working knowledge of OFI/libfabric, UCX, and verbs-style concepts • Solid background in RDMA concepts and performance tuning • Experience contributing to open-source projects • Prior experience developing or maintaining libfabric providers is preferred • Familiarity with Ultra Ethernet (UEC/UET) specifications is preferred • Experience with RoCEv2, congestion control, and/or Ethernet-based RDMA deployments is preferred • Experience with cluster-scale benchmarking, profiling, and optimization is preferred • Background with HPC fabrics such as Omni-Path is preferred

🏖️ Benefits

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