Omni-Path scale-out network fabric hardware and software for AI and HPC
Cornelis Networks builds scale-out interconnect fabrics for AI training, inference and HPC, rooted in Omni-Path. The stack spans chip design (Verilog, SystemVerilog, UVM, Design Compiler) through RDMA, libfabric and SONiC up to NCCL, PyTorch and DeepSpeed, a full silicon-to-framework vertical. Hiring is accelerating and senior, engineering-heavy, aimed at next-generation Ethernet ASICs and verification throughput.
Cornelis Networks is a privately held networking company headquartered in Wayne, PA, founded in 2020 with 51–200 employees. It develops high-performance, lossless scale-out network fabrics for AI and HPC infrastructure, built on the Omni-Path architecture. Its work covers ASIC design and verification, fabric platforms, and communication middleware that connects to AI frameworks and GPU ecosystems such as CUDA and ROCm. The company also runs hardware test and manufacturing operations with contract manufacturers, and hires in the United States, Costa Rica, Germany, Japan and Indonesia.
Cornelis uses SystemVerilog, Verilog, UVM, Questa and Design Compiler for chip design, plus C++, Python, Go, libfabric, RDMA, RoCEv2, SONiC, InfiniBand, Omni-Path, NCCL, CUDA, ROCm and PyTorch.
Job posts point to next-generation fabric platforms and Ethernet ASICs, AI communication middleware integrated with libfabric/OFI/UCX, SoC verification environments, and post-silicon validation.
Cornelis Networks hires in the United States, Costa Rica, Germany, Japan and Indonesia, mostly senior engineering roles, with hiring velocity accelerating.
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Cornelis Networks's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.