Software Engineer – AI/HPC Middleware

Cornelis Networks, Inc.•New York, NY

1d•Remote

About The Position

At Cornelis we’re building the future of AI and HPC networking with an AI-first approach to silicon and software development. We’re seeking engineers who are energized by working on cutting-edge ASIC design and distributed software systems, and who are motivated to push the boundaries on how AI can transform everything from chip architecture to system performance at scale. Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking a Software Engineer to help develop and optimize Cornelis Networks' AI/HPC communication middleware. Working under the guidance of senior team members, you will contribute to enabling and tuning HPC middleware (MPI/SHMEM) and AI middleware (collective communication libraries / CCL, e.g., NCCL/RCCL and related stacks) over Cornelis Networks' interconnects. You will grow your expertise across the stack (drivers/kernel, switches, systems, and application/framework teams) while contributing 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). Master's or Doctorate a plus.
Exposure to or coursework/project experience with HPC middleware (e.g., MPI/SHMEM) and/or AI collective communication libraries (e.g., NCCL/RCCL, CUDA/ROCm) and/or other CCL stacks.
Familiarity with performance concepts and an ability to diagnose issues using profiling/tracing tools, or a strong willingness to learn.
Foundational understanding of networking and/or RDMA concepts.

Nice To Haves

Experience contributing to open-source projects.
Exposure to libfabric providers.
Familiarity with Ultra Ethernet (UEC/UET) specifications.
Experience with RoCEv2, congestion control, and/or Ethernet-based RDMA deployments.
Experience with benchmarking, profiling, and optimization.
Background with Omni-Path/OPX or Ethernet-based HPC fabrics.

Responsibilities

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 (ie: libfabric / OFI, UCX, verbs-like semantics where applicable)
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
Help analyze performance traces and reproduce customer issues, and assist in translating findings into fixes.