
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.
51 - 200 employees
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
💰 $29M Series B on 2022-11
October 17

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.
51 - 200 employees
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
💰 $29M Series B on 2022-11
• Own end-to-end performance for distributed AI workloads across multi-node clusters • Benchmark and tune open-source & industry workloads on current and future hardware • Design and optimize distributed serving topologies and validation efforts • Build crisp proof points comparing Cornelis Omni-Path to competing interconnects • Instrument and visualize performance and evangelize best practices
• B.S. in CS/EE/CE/Math or related • 5–7+ years running AI/ML at cluster scale • Proven ability to set up, run, and analyze AI benchmarks • Hands-on with distributed training beyond single-GPU • Practical experience across AI stacks & comms: PyTorch, DeepSpeed, Megatron-LM, etc. • Comfortable with compilers and MPI stacks; Python + shell power user • Familiarity with network architectures and Linux systems • Excellent written and verbal communication
• Competitive compensation package including equity, cash, and incentives • Health and retirement benefits • Generous paid holidays • 401(k) with company match • Open Time Off (OTO) for regular full-time exempt employees • Sick time, bonding leave, and pregnancy disability leave
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