Principal AI Engineer - Electrical / Embedded (Internal Use)
Core
Design and develop low-power electrical architectures, custom PCBs, and embedded firmware for autonomous robotic platforms, focusing on sensor integration, power management, and edge AI tasks.
Role type
Principal AI Engineer (Electrical/Embedded)
Builds
Autonomous robotic platforms (battery-powered/aerial) with integrated sensor suites and embedded control systems.
Domain
Robotics / Embedded Systems / Electrical Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
C/C++ programming, PCB design and fabrication, microcontroller architecture, sensor integration, RTOS/embedded Linux, communication protocols (I2C, SPI, UART, CAN), circuit design and simulation, flight control system integration, firmware optimization for edge AI.
Preferred skills
Energy-efficient system design, hardware accelerator integration (NPU/embedded GPU/FPGA), embedded AI model deployment (TensorFlow Lite, ONNX, TensorRT), functional safety standards (ISO 26262, IEC 61508), high-speed digital/RF design, ROS/ROS2 interaction.
Technologies
ARM Cortex-M, ESP32, Altium, KiCad, Eagle, SPICE, PX4, TensorFlow Lite, ONNX Runtime, TensorRT, RTOS, embedded Linux, Wi-Fi, Ethernet, CAN, I2C, SPI, UART, LiDAR, IMU, GPS, cameras.
Responsibilities
Design low-power electrical architectures and power management systems; design, layout, fabricate, and test custom PCBs; develop and test embedded software/firmware for real-time control; integrate and test sensors ensuring signal integrity; implement communication interfaces and protocols; optimize firmware for edge AI on resource-constrained hardware; conduct validation and performance testing including flight tests; collaborate with mechanical, control, software, and AI engineers; create and maintain technical documentation.
Seniority
Principal, hands-on IC with strategic oversight