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About the Role

Cornelis Networks is seeking an experienced Senior Software Engineer to contribute to the design, development, and upstream enablement of AI/HPC communication middleware. This role focuses on enabling and optimizing HPC and AI middleware over Cornelis Networks' interconnects, driving performance, correctness, and deployability across customer workloads.

Responsibilities

• Implement and optimize features for HPC middleware (HPI and SHMEM) and AI middleware (CCL stacks ie: NCCL/RCCL and related collective communication libraries)
• Integrate 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 deliver end-to-end performance aligned to the Cornelis product roadmap
• Analyze performance traces and reproduce customer issues, and assist in translating findings into fixes

Requirements

• 6+ years of experience in systems programming in C/C++ on Linux
• Hands-on experience with HPC middleware internals (Open MPI, MPICH, MVAPICH, and/or SHMEM) or optimizing collective communications for AI, including NCCL/RCCL, CUDA/ROCm) and/or other CCL stacks
• Demonstrated ability to deliver low-latency/high-throughput communication paths and to diagnose performance issues using profiling/tracing tools
• Working knowledge of transport/integration layers such as OFI/libfabric, UCX, verbs-style concepts
• Solid background in RDMA concepts and performance tuning
• Experience contributing to open-source projects

Skills

• C/C++
• Linux
• HPC middleware internals
• Open MPI
• MPICH
• MVAPICH
• SHMEM
• NCCL/RCCL
• CUDA/ROCm
• CCL stacks
• Low-latency/high-throughput communication paths
• Profiling/tracing tools
• OFI/libfabric
• UCX
• RDMA concepts
• Open-source contribution
• libfabric providers
• Ultra Ethernet (UEC/UET) specifications
• RoCEv2
• Congestion control
• Ethernet-based RDMA deployments
• Cluster-scale benchmarking
• HPC fabrics
• Omni-Path

Location

• Remote (United States)

Work Type

• Remote
• Onsite
• Hybrid

Experience Level

• Senior

Education Level

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• Master's or Doctorate a plus

Salary/Compensations

• Competitive compensation package includes equity, cash, and incentives
• Base pay determined by skills, qualifications, experience, and location
• Potential eligibility for performance-based incentives (annual bonus or sales incentives)

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Disability insurance
• Life insurance
• Dependent care flexible spending account
• Accidental injury insurance
• Pet insurance
• Generous paid holidays
• 401(k) with company match
• Open Time Off (OTO) for regular full-time exempt employees
• Sick time
• Bonding leave
• Pregnancy disability leave

About the Company

• Cornelis is building the future of AI and HPC networking with an AI-first approach to silicon and software development.
• Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters.
• Our differentiated architecture integrates hardware, software, and system-level technologies to maximize the efficiency of compute clusters.
• Our solutions drive breakthroughs in AI & HPC workloads.
• Backed by top-tier venture capital and strategic investors.
• We are a fast-growing, forward-thinking team of architects, engineers, and business professionals.
• A global organization with a team spanning multiple U.S. states and six countries.

Equal Opportunity

• Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
• We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.