Embedded Systems Engineer

The Embedded Systems Engineer will be responsible for designing, developing, and optimizing embedded software and firmware for robotic platforms, including quadrupeds, humanoids, and industrial automation systems. This role involves hardware-software integration, real-time programming, sensor interfacing, and system optimization, ensuring high performance, reliability, and real-time control in robotic applications.

Key Responsibilities

1. Firmware Development & Optimization

• Develop and maintain embedded firmware for real-time robotic applications.
• Implement and optimize low-level drivers for sensors, actuators, and communication interfaces.
• Ensure robust, fault-tolerant firmware for autonomous robotic systems.

2. Hardware-Software Integration

• Collaborate with hardware teams to integrate microcontrollers (STM32, PIC, ARM Cortex) and embedded processors (NVIDIA Jetson, Raspberry Pi).
• Develop hardware abstraction layers (HAL) to provide seamless interaction between software and robotic hardware.
• Test and validate embedded solutions through hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations.

3. Real-Time System Programming

• Develop and optimize real-time applications using RTOS (FreeRTOS, Zephyr, QNX) for deterministic robotic behavior.
• Implement scheduling algorithms, task management, and resource allocation to support time-sensitive applications.

4. Sensor & Actuator Control

• Integrate sensors such as IMUs, LiDAR, cameras, and force sensors into robotic platforms.
• Develop motor control algorithms (PWM generation, PID tuning, FOC) for precision actuation.
• Ensure accurate sensor data acquisition and processing for robotic perception and decision-making.

5. Communication Protocols & Networking

• Implement embedded communication interfaces such as SPI, I2C, UART, CAN, and Ethernet.
• Develop networking solutions using MQTT, Modbus, and ROS2 for IoT and robotic applications.
• Optimize real-time data transmission for multi-agent robotic systems.

6. Debugging, Testing & Validation

• Use JTAG debuggers, logic analyzers, oscilloscopes, and other diagnostic tools to troubleshoot embedded systems.
• Perform power and resource optimization to ensure low power consumption and efficient execution on embedded platforms.
• Validate firmware and embedded algorithms through real-world robotic deployment and iterative improvements.

7. Power Management & System Optimization

• Design and optimize embedded power management systems, including battery management, power distribution, and efficiency tuning.
• Develop thermal regulation and low-power algorithms for energy-efficient robotics.

8. Documentation & Compliance

• Maintain detailed documentation for firmware, embedded system architecture, and testing procedures.
• Ensure compliance with industry safety standards in robotic and industrial automation applications.

Required Skills - Education & Experience

• Bachelors or Masters degree in Electrical Engineering, Electronics, Robotics, or a related field.
• 3+ years of experience in embedded systems development, preferably in robotics or industrial automation.
• Hands-on experience with microcontrollers, embedded processors, and real-time sensor integration.

Technical Expertise

• Embedded Systems & Firmware: Expertise in programming microcontrollers (STM32, PIC, ARM Cortex) and embedded processors (NVIDIA Jetson, Raspberry Pi).
• Programming & Low-Level Development: Strong proficiency in C, C++, and Python for embedded programming.
• RTOS & Real-Time Control: Experience with FreeRTOS, Zephyr, QNX, and real-time scheduling techniques.
• Motor Control & Actuation: Knowledge of DC motors, BLDC, servo drives, and PID/FOC control algorithms.
• Sensor Integration & Data Processing: Experience integrating IMUs, LiDAR, cameras, and force sensors for robotic perception.
• Communication & Networking: Understanding of SPI, I2C, UART, CAN, Ethernet, and robotic middleware (ROS2, Modbus, MQTT).
• Debugging & Hardware Testing: Proficiency with JTAG debuggers, oscilloscopes, and hardware validation tools.

Preferred Skills

• Robotics System Integration: Experience working with ROS/ROS2 for real-time robotic motion planning and control.
• IoT & Edge Computing: Familiarity with IoT protocols and edge computing for real-time data processing.
• Industrial Communication Standards: Understanding of CANopen, EtherCAT, and fieldbus protocols in industrial automation.
• Simulation & Embedded Validation: Experience with Gazebo, MATLAB, or Simulink for embedded system testing.
• Safety & Compliance Standards: Awareness of regulatory requirements for embedded systems in robotics and industrial applications.

Soft Skills

• Problem-Solving & Debugging: Strong analytical skills to troubleshoot and optimize embedded systems.
• Cross-Functional Collaboration: Ability to work closely with hardware, AI, and robotics teams to develop integrated solutions.
• Attention to Detail: Methodical approach to firmware development, testing, and documentation.