Tenstorrent builds computers for AI from the ground up: architecture, silicon, and software as a unified system. The company develops AI Graph Processors and high-performance RISC-V CPUs, packaged as configurable chiplets. Under the technical leadership of CEO Jim Keller, the engineering organization spans North America, Europe, and Asia, drawing from backgrounds at AMD, Tesla, and Intel. The approach centers on eliminating vendor lock-in through open-source tooling - TT-Forge (compiler), tt-metalium (runtime), and fully open RISC-V CPU designs - paired with hardware-software co-design where both teams work in tight collaboration.
The technical stack reflects production systems priorities: RISC-V cores, UCIe interconnect, PCIe interfaces, and RTL design in Verilog/SystemVerilog for silicon. The software layer includes C++ and Python for core development, MLIR for compiler infrastructure, and Linux-based deployment (RHEL, Ubuntu) managed through Ansible. Engineers ship regularly in a distributed organization structured to maintain startup iteration speed while operating at global scale. The architecture work spans SoC design, AI acceleration, compiler optimization, and the operational complexity of coordinating hardware and software release cycles.
Tenstorrent's model prioritizes technical depth over presentation: hardware and software engineers collaborate directly on bottlenecks in inference throughput, latency characteristics, and cost per operation. The open-source commitment extends beyond software libraries to actual CPU designs, creating evaluation paths without procurement barriers. For engineers focused on inference systems, the work involves compiler optimization against real silicon constraints, runtime performance tuning across the stack, and architectural decisions that propagate from chiplet design through model deployment.
