Full-stack AI inference infrastructure, from custom dataflow chips to models
SambaNova builds AI inference systems spanning custom silicon, on-prem stacks and a cloud service. The stack pairs chip-design tooling (SystemVerilog, AXI, DDR5, Ansys HFSS) with compiler and serving layers (MLIR, LLVM, vLLM, SGLang, TensorRT-LLM), and hiring skews heavily toward senior and principal engineers, pointing to deep investment in next-generation RDU silicon and super-pod networking alongside the SambaStack serving platform.
Notable leadership hires: Director Technical Accounting, Support Lead
SambaNova is a San Jose, California-based company founded in 2017 that develops AI infrastructure covering chips, systems, software and foundation models. It sells to developers, enterprises, governments, data centers and cloud service providers. Customers can use a hosted cloud offering with OpenAI-compatible APIs serving open models such as Llama and DeepSeek, deploy SambaStack on-premise, or run SambaManaged as a ready-to-deploy AI cloud. The privately held company employs 201-500 people and hires across the United States, United Kingdom, India, Singapore, Japan and Sweden.
SambaNova's stack spans hardware design (SystemVerilog, AXI, DDR5, InfiniBand, RDMA), ML frameworks (PyTorch, JAX, TensorFlow), compilers (MLIR, LLVM, GCC) and inference serving tools like vLLM, SGLang and TensorRT-LLM.
Current work includes the SambaStack inference serving platform, next-generation reconfigurable dataflow unit (RDU) chips and verification, super-pod scale ML networking, and production GenAI applications on the SN40L.
SambaNova hires in the United States, United Kingdom, India, Singapore, Japan and Sweden, with demand concentrated in senior and principal engineering roles.
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SambaNova'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.