Principal AI Engineer - Electrical / Embedded (Internal Use)

Talentsis; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Talentsis in Singapore seeks a qualified embedded hardware engineer to design low-power electrical architectures for autonomous robotic platforms and to develop bespoke PCBs for sensors, power management, and processing.

You will implement firmware in C/C++ for MCUs/SoCs, interface diverse sensors, and work with RTOS/embedded Linux, PX4 flight control, and edge AI optimizations on constrained hardware. Collaboration across teams is essential.

Qualifications

• Bachelor's or master's in EE, CE, robotics, or related field.
• 3+ years in robotics hardware, embedded systems, or equivalent R&D.
• Proficiency in C/C++ for embedded platforms.
• Hands-on PCB design with Altium, KiCad or Eagle.
• Strong understanding of MCU architectures and comms protocols.
• Experience with sensor integration and signal conditioning.
• Experience with RTOS and embedded Linux.

Responsibilities

• Design and develop low-power electrical architectures for autonomous robotic platforms.
• Design, layout, fabricate, and test custom PCBs for sensors and power management.
• Interface various sensors at hardware level ensuring signal integrity.
• Develop embedded software/firmware for MCUs/SoCs for real-time control.
• Implement and manage interfaces (I2C, SPI, UART, CAN, Ethernet, Wi-Fi).
• Work with RTOS and embedded Linux environments.
• Integrate hardware with flight control systems (PX4).
• Investigate firmware optimizations for edge AI on constrained hardware.
• Conduct validation and performance testing including flight tests.
• Collaborate with mechanical/control/software/AI engineers for integration.
• Create and maintain documentation.

Skills

C/C++

PCB design

RTOS

Embedded systems

Sensor integration

Signal conditioning

Altium

KiCad

Eagle

Education

Bachelor's degree in Electrical Engineering

Master's degree in related field

Tools

Altium

KiCad

Eagle

SPICE

Job description

• Design and develop low-power electrical architectures, including power distribution and management systems, for autonomous robotic platforms (especially battery-powered/aerial).
• Design, layout, fabricate, and test custom PCBs for sensor integration, power management, motor control, and embedded processing.
• Select, integrate, and interface various sensors (e.g., IMUs, LiDAR, cameras, GPS, encoders) at the hardware level, ensuring signal integrity.
• Develop and test embedded software/firmware (C/C++) for microcontrollers (e.g., ARM Cortex-M, ESP32) and potentially SoCs for real-time control, sensor data acquisition, and communication.
• Implement and manage communication interfaces and protocols (e.g., I2C, SPI, UART, CAN, Ethernet, Wi-Fi).
• Work with real-time operating systems (RTOS) and/or embedded Linux environments.
• Integrate and test embedded systems with flight control systems (e.g., PX4) at the hardware and firmware level.
• Investigate and potentially implement firmware optimizations for edge AI tasks on resource-constrained hardware (MCUs, potentially NPUs/embedded GPUs).
• Conduct validation and performance testing (including flight tests) focusing on electrical robustness, power efficiency, signal integrity, and embedded system performance.
• Collaborate closely with mechanical, control, software, and AI engineers to ensure seamless hardware/firmware integration.
• Create and maintain thorough technical documentation (schematics, PCB layouts, firmware specifications, test plans/reports).

Required Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or a related field.
• 3+ years of experience in robotics hardware, electrical, or embedded systems design and development, or equivalent academic R&D experience.
• Proficiency in C/C++ programming for embedded platforms.
• Strong hands-on experience with PCB design tools (e.g., Altium, KiCad, Eagle), circuit design, simulation (e.g., SPICE), and board bring-up/debugging.
• Solid understanding of microcontroller architectures, embedded systems design, digital and analog electronics, and communication protocols.
• Experience with sensor integration and signal conditioning.
• Experience with RTOS and/or embedded Linux.

Preferred Qualifications:

• PhD in Electrical Engineering, Computer Engineering, Robotics, or a related field.
• Experience designing energy-efficient systems and advanced power management techniques, especially for aerial platforms.
• Experience integrating hardware accelerators (e.g., NPUs, embedded GPUs, FPGAs) at the hardware/firmware level.
• Familiarity with deploying optimized AI models (e.g., using TensorFlow Lite, ONNX Runtime, TensorRT) on embedded targets.
• Experience with flight control systems (e.g., PX4) hardware/firmware integration.
• Familiarity with relevant robotics safety standards (e.g., ISO 10218, ISO 13849) and functional safety concepts (e.g., ISO 26262, IEC 61508).
• Experience with high-speed digital design or RF design.
• Demonstrated ability to prototype, deploy, and iterate on electrical/embedded solutions in field environments.
• Experience with ROS/ROS2 interaction at the embedded level.
• A strong research record or portfolio in embedded systems, robotics hardware, or real-time processing.