Principal AI Engineer - Electrical / Embedded (Internal Use)
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Before you apply
LocationSingapore, Singapore, Singapore
Typefull-time
SeniorityLead
Experience3+ yrs
Company size51–200 people
PostedMay 15, 2025 · 1y ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
C/C++
Altium
KiCad
Eagle
SPICE
ARM Cortex-M
ESP32
I2C
SPI
UART
CAN
Ethernet
Wi-Fi
RTOS
Embedded Linux
PX4
TensorFlow Lite
ONNX Runtime
TensorRT
ROS/ROS2
FPGA
NPU
GPU
Responsibilities
· 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).
Requirements
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:
Nice to have
· 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.