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Persimmons, Inc. Tech Stack

Custom silicon and compiler stack for AI inference at scale

Computer Hardware Manufacturing San Jose, California 11–50 employees Founded 2023 Privately Held

Persimmons designs full-stack AI inference hardware and software, from custom silicon (ASIC, chiplets) through compilers (LLVM, MLIR, XLA, IREE) to communication libraries (NCCL, MPI) for datacenter and edge deployment. The engineering-heavy org (10 of 11 roles) skews senior, with active projects spanning chiplet verification, compiler optimization, and multi-node communication—a signal the company is solving internal scaling bottlenecks (communication across thousands of nodes, timing closure, ASIC verification complexity) rather than shipping a product yet.

Tech Stack 25 technologies

Core StackPyTorch TensorFlow C++ Python LLVM MLIR XLA IREE JAX Halide SystemVerilog Verilog UVM C C/C++ JTAG NCCL ROCm MPI ASIC Perl TCL PCIe Cadence Synopsys

What Persimmons, Inc. Is Building

Challenges

  • Scaling communication across thousands of compute nodes
  • Efficient dataflow for ai workloads
  • Verifying complex asic designs
  • Scalable execution of modern ai workloads
  • Runtime-level optimizations for latency
  • Manual overhead in design flows
  • Timing closure challenges
  • Complex multi-corner environments

Active Projects

  • Optimizing persimmons compiler
  • Designing ai model compiler
  • Developing novel scheduling algorithms
  • Persimmons inference chiplet verification
  • Communication libraries for high performance scalable system
  • Communication protocols for device discovery and routing
  • Scalable communication software for large-scale ai clusters
  • Persimmons chiplet development
  • Automation methodology improvement
  • Verification planning for fabric-level and full-chip designs

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering
10

Seniority

Senior
9
Mid
1
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About Persimmons, Inc.

Persimmons, founded in 2023, builds custom inference silicon and the software stack required to deploy generative AI workloads efficiently across edge devices and large-scale HPC clusters. The company operates from San Jose with a small, senior-focused engineering team. Their approach spans hardware design (ASIC and chiplet architecture), compiler infrastructure (LLVM/MLIR-based optimization), and communication protocols for distributed inference—targeting both latency optimization at the silicon level and scalability across thousands of compute nodes in datacenter environments.

HeadquartersSan Jose, California
Company Size11–50 employees
Founded2023
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Persimmons use?

LLVM, MLIR, XLA, IREE, PyTorch, TensorFlow, JAX, Halide, C++, Python, SystemVerilog, Verilog, UVM, NCCL, ROCm, MPI, ASIC design tools (Cadence, Synopsys), and PCIe. No active adopts or replacements recorded.

What is Persimmons working on?

Chiplet design and verification, AI model compiler optimization, novel scheduling algorithms, and communication libraries for multi-node AI clusters. Internal challenges include scaling communication across thousands of nodes, timing closure in ASIC design, and runtime latency optimization for modern AI workloads.

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