Machine Learning Engineer

We are not accepting outside agencies at this time

Brain Chip is pioneering neuromorphic edge AI processors that deliver ultra-low-power intelligence at the point of data creation. We are seeking a seasoned Principal Software Architect with 7+ years of deep systems software experience to own the full developer platform for our 3rd‑generation Neural Processing Unit (NPU).

Reporting directly to the CTO and partnering closely with our internal compiler lead, you will architect, integrate, and deliver a production‑grade software ecosystem—including a VS Code‑based IDE with embedded LLM assistance, system‑level profiling, target‑side boot loader, RTOS integration, and advanced debugging—all built atop mature open‑source foundations and our in‑house compiler.

Your mission: assemble together a seamless, best‑in‑class developer experience that hides complexity and accelerates adoption of Brain Chip’s unique neuromorphic hardware.

This is a hybrid role, in our Laguna Hills, CA office 2x‑3x a week.

• Own end‑to‑end integration of our internal compiler into a unified toolchain with runtime, IDE, debugger, profiler, and deployment pipeline.

• Architect a secure, minimal target boot loader supporting:

• Extend GDB/LLDB with NPU‑specific commands for cycle‑accurate stepping, event tracing, and state inspection (membranes, synapses, queues).
• Support JTAG, SWD, and OTA debug with non‑intrusive hardware tracing.

• Work hand‑in‑hand with the CTO and silicon team to expose hardware capabilities via software abstractions.
• Use profiling and simulation data to influence microarchitecture (e.g., memory tiling, sparsity engines, event routing).

• Education:
  
  BS in Computer Engineering, Computer Science, Electrical Engineering, or equivalent.

• 4+ years in systems software; 2+ years integrating and productizing complex tool chains (compilers, IDEs, debuggers, profilers).
• Proven success shipping VS Code extensions or full developer platforms used by external teams desired.
• Deep experience with open‑source integration and upstream contribution workflows.
• Technical Expertise in many of the following:

• IDE & Tooling: VS Code Extension API, LSP, DAP, Type Script, Web Assembly UI.
• Debug & Profiling: GDB/LLDB extensions, OpenOCD, eBPF, perf, hardware trace (ETM/HTM).
• RTOS & Embedded:
  Zephyr/FreeRTOS, device trees, linker scripts, bare‑metal bring‑up.
• Languages:
  
  Expert in C/C++, Rust; strong in Python, Type Script.

• Domain Fit:
  Experience with edge AI, neuromorphic, or ultra‑low‑power SoCs strongly preferred and/or intense curiosity and interest.

• Upstream contributions to VS Code, LLVM, Zephyr, OpenOCD, or other large opensource projects.
• Experience with LLM integration in IDEs (Copilot, Code Llama, custom fine‑tuned models).
• Secure boot and firmware update systems in production devices.
• Patents or publications in developer tools, profiling, or edge AI deployment.
• Strong Background in robotics and embedded system