Position Title: Robotics Developer
Location: Toronto, Canada (Hybrid / On-site)
About the Role
We are seeking a highly skilled Robotics Developer to design, develop, and deploy advanced robotic solutions using Unitree robotic platforms. The ideal candidate will have hands-on experience with robotics SDKs, sensor integration, autonomous navigation, and vision-based systems. This role involves building scalable applications for industrial, educational, and research environments.
Key Responsibilities
- Develop robotic applications using the Unitree SDK and ROS/ROS2 frameworks.
◦ Unitree SDK: https://github.com/unitreerobotics/unitree_sdk2
- Design and implement autonomous navigation systems using LiDAR, SLAM, and path-planning algorithms.
- Develop computer vision solutions for object detection, tracking, and environment perception using RGB and depth cameras.
- Integrate and calibrate sensors including LiDAR, IMUs, cameras, and GPS modules.
- Build and optimize robotic control algorithms for motion planning, obstacle avoidance, and real-time decision-making.
- Collaborate with cross-functional teams to develop robotics-based solutions for industrial inspection, logistics automation, and AI research.
- Test, troubleshoot, and deploy robotic systems in real-world environments.
- Contribute to documentation, system architecture design, and software lifecycle management.
Required Qualifications
- Bachelor’s or Master’s degree in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- Strong proficiency in C++ and Python (required for robotics development).
- Experience with ROS/ROS2, Linux environments, and robotics middleware.
- Hands-on experience with robotics SDKs (e.g., Unitree SDK, NVIDIA Isaac, or similar).
- Knowledge of navigation and perception algorithms including:
◦ SLAM (Simultaneous Localization and Mapping)
◦ Path planning (A*, D*, RRT)
◦ Computer vision (OpenCV, deep learning frameworks such as TensorFlow or PyTorch)
- Experience integrating LiDAR and vision systems for autonomous navigation.
- Strong understanding of robotic system architecture, control systems, and embedded programming.
Preferred Qualifications
- Experience working with quadruped or humanoid robots.
- Familiarity with AI/ML applications in robotics, reinforcement learning, or edge AI deployment.
- Knowledge of industrial automation, teleoperation systems, or robotic manipulation.
- Experience deploying robotics solutions in industrial or research environments.
What We Offer
- Opportunity to work with cutting-edge robotics technology and global partners.
- Collaborative and innovation-driven environment.
- Competitive salary and career growth opportunities.
Job Type: Full-time
Pay: $120,000.00-$160,000.00 per year
Work Location: In person
