AI inference accelerator platform and chip design for datacenter deployments
d-Matrix designs custom silicon (Corsair) purpose-built for AI inference, with a tech stack spanning PyTorch, TensorFlow, FPGA, RISC-V, SystemVerilog, and Cadence — the full depth required for chip-to-cloud productization. The hiring mix (37 engineers across staff, senior, and principal levels; only 3 ops) and active projects (compiler infrastructure, SoC verification, tape-out, CI/CD) show a company mid-cycle in hardware engineering, now shifting focus to software productization and supply-chain automation as they scale from design into manufacturing.
d-Matrix builds Corsair, a custom computing platform designed to reduce cost and power consumption for AI inference workloads in datacenters. The company sits at the intersection of semiconductor design and AI software, combining chip architecture work (SoC verification, functional test modules, PCIe accelerator cards) with compiler and software-stack development (MLIR, LLVM-based tooling). Founded in 2019 and based in Santa Clara, the organization spans 51–200 employees across engineering, operations, and logistics, with current hiring momentum concentrated in senior and staff-level engineering roles across the United States, India, Australia, Canada, and Serbia.
d-Matrix uses PyTorch and TensorFlow for ML workloads, SystemVerilog and UVM for chip verification, Cadence for design tools, MLIR and LLVM for compiler infrastructure, and RISC-V and FPGA as foundational architectures.
Current projects include compiler infrastructure development, SoC verification and tape-out efforts for Corsair PCIe accelerator cards, software-stack productization for the AI compute engine, CI/CD automation, and AI-driven supply-chain optimization including manufacturing test efficiency and yield analysis.
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d-Matrix'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 →
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