Project Overview: PCB + Processing System Designer Needed for Humanoid Robot (LLM-Ready, Python/C++ Compatible) I am looking to hire an experienced PCB designer or embedded systems engineer to design a custom control PCB and processing integration module for my humanoid robot prototype. The system must support actuator control, sensor inputs, audio/video components, and also be capable of running local LLM models (7B or higher) for on-board AI processing. 1. Hardware & PCB Requirements The board should support: Actuators & I/O USB or native interfaces for robotic actuators PWM, UART, I2C, SPI, GPIO expansion Support for IMU, proximity sensors, touch sensors, pressure sensors Cameras & Audio 1–2 camera module interfaces (CSI/USB) Microphone input Speaker output Power System Stable power regulation for motors + logic Battery compatibility (12V/24V Li-ion) Over-current and thermal protection 2. Processing Unit Requirements (LLM Support) The system must support running local LLM inference, for example: Ollama models (7B or higher) Mistral 7B Falcon 7B Llama 3 8B Other optimized quantized on-device models This means the PCB should either: Option A: Integrate a powerful SoC module Examples: NVIDIA Jetson Orin Nano / Orin NX Raspberry Pi 5 + external NPU Orange Pi 5 Plus (16GB RAM) Khadas VIM4 or VIM3 Rockchip RK3588 boards Option B: Provide connectors to mount an SoC as the “brain” Such as: Raspberry Pi CM4 connector Jetson module footprint Dedicated PCIe slot or M.2 slot for AI accelerators The freelancer should advise the best option given cost, heat, and LLM requirements. 3. Software Compatibility The system must support: Programming Languages Python C++ Framework Compatibility TensorRT (optional) PyTorch / ONNX Runtime Local LLM inference (Ollama, llama.cpp, or similar) 4. Deliverables Complete schematic + PCB layout BOM (Bill of Materials) Gerber files 3D render Wiring + interface documentation Daily work logs and progress updates 5. Ideal Freelancer Strong experience in robotics & embedded electronics Has designed PCB boards involving actuators, cameras, IMUs, and audio systems Knowledge of SoC integrations capable of AI/LLM workloads Understands power design, heat management, and PCB safety