Mechatronics Engineer

2 weeks ago


Sydney, New South Wales, Australia aKin Full time $120,000 - $180,000 per year

We are seeking a full time robotics / mechatronics engineer, with strong software skills.

We build assistive robots for the home - social robots to deliver therapy, and robots with arms for domestic tasks for people with disability

Must be willing to travel every 4-6 weeks

About the company

Akin is a Public Benefit AI and Robotics company. We build robots for the home for daily living tasks. Although our technology can be used in any home, we have a focus on supporting people with disability

This is a unique opportunity to apply your skills to a meaningful challenge, creating technology that makes a real difference in people's lives. You will be instrumental in integrating a complex suite of sensors, actuators, and AI software using ROS2. You'll help bring our assistive robots to life, enabling them to perceive, communicate, and interact in a way that provides connection, and meaningful support.

The ideal candidate should bring strong expertise in ROS2 node development and integration, combined with proficiency in Python and C++ for embedded systems. They should understand how to interface with electronics and communication buses, while also being able to connect ROS2 systems to backend databases and cloud services.

Responsibilities

  • Whole development lifecycle (
    design, development, printing, assembly and testing social robots)
  • Support
    junior engineers
  • Develop ROS2 Drivers & Nodes:
    Create and maintain ROS2 packages in C++ and Python to integrate and manage hardware components, including:
  • Audio I/O:
    A multi-channel
    microphone array
    and
    speakers
    .
  • Visuals:
    A high-resolution
    camera
    and an expressive
    screen
    to display a variety of emotions and information.
  • Interaction & Movement:
    NFC/RFID
    readers for secure connectivity and various
    actuators (servos)
    for precise physical movement.
  • Implement Onboard AI:
    Work with the
    NVIDIA Jetson Orin Nano
    to integrate and optimize machine learning models for:
  • Speech:
    Text-to-Speech (TTS) and Speech-to-Text (STT) processing.
  • Vision:
    Real-time
    image recognition
    and image processing from the camera feed.
  • Cognition:
    Assist in deploying and interfacing with Language Models
  • Integrate with External Services:
    Connect the robot's software to external APIs using
    HTTP
    ,
    REST
    ,
    GraphQL
    , and
    WebSockets
    to pull data and trigger actions from cloud services.
  • Build CI/CD Pipelines:
    Help design and establish a robust
    Continuous Integration/Continuous Deployment (CI/CD) pipeline
    using
    Docker
    for containerizing applications, enabling automated testing and Over-the-Air (
    OTA
    ) deployment of the robot's software stack.
  • System Integration & Debugging:
    Collaborate closely with hardware and software engineers to troubleshoot and resolve complex integration issues across the entire robotic system.

Qualifications

  • Bachelor's or Master's degree in preferred combinations of Mechatronics Engineering, Robotics, Computer Science
  • Strong programming proficiency in
    C++
    and
    Python
    .
  • A genuine passion for using technology to help people.
  • Ability to collaborate in multidisciplinary teams, and a great commitment to documentation and continuously learning.
  • Experience in system deployment on platforms like Jetson.
  • Hands-on experience with
    ROS2
    .
  • Experience with embedded platforms.
  • Experience with containerization and orchestration tools like
    Docker
    and
    Kubernetes
    .
  • Familiarity with web APIs and protocols (
    REST
    ,
    GraphQL
    ,
    WebSockets
    ).
  • Previous project work involving sensors (cameras, microphones), actuators (servos), or communication protocols (I2C, SPI, UART).
  • An interest in machine learning

What you will gain

This role will provide you with deep, practical tasks, applied to a field with a profound social impact and lot of creativity

  • Experience
    end-to-end deployment
    from concept to prototype to manufacture
  • Gain invaluable experience in
    edge AI
    and deploying ML models on embedded systems for real-world applications.
  • S
    ystems integration
    for complex assistive technology.
  • Contribute directly to products that make a
    measurable difference
    in people's lives


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