Embedded System Robotics Engineer - Windsor, Ontario
6 hours ago

Job description
About O-HIVE
O-HIVE is developing a next-generation
3D Spatial Vision-based Autonomous Factory Robot
integrating:
- LiDAR-based 3D spatial scanning
- Sub-millimeter accuracy 3D reconstruction
- AI-driven spatial perception
- Autonomous robotic manipulation and navigation
Our platform leverages advanced 3D scanning, embedded systems, and robotics control to enable intelligent automation in manufacturing, construction, and industrial environments.
Role Overview
We are seeking a
Mechatronics Engineer
to lead the integration of:
- Mechanical design
- Embedded systems
- Electronics hardware
- Control systems
- Spatial vision integration for robotic autonomy
You will work at the intersection of
robotics, 3D vision, control engineering, and intelligent automation
, contributing directly to the development of autonomous factory robots powered by spatial AI.
Key Responsibilities Mechanical System Design
- Design and optimize robotic mechanical structures (end-effectors, actuators, housing, structural frames)
- Develop precision assemblies aligned with sub-millimeter 3D spatial sensing
- Perform tolerance analysis and mechanical validation
- Prototype and iterate using CAD tools (SolidWorks, Fusion 360, CATIA, etc.)
Embedded Systems & Electronics
- Design and review electronics schematics and PCB layouts
- Select and integrate sensors (LiDAR, depth cameras, IMU, encoders)
- Develop firmware for microcontrollers (STM32, ESP32, ARM-based systems)
- Interface motor drivers, actuators, and feedback sensors
- Conduct system-level debugging (signal integrity, EMI, power stability)
Robotics Control & Debugging
- Implement motor control systems (BLDC, servo, stepper)
- Develop motion control algorithms (PID, feedforward, model-based control)
- Integrate real-time control loops (RTOS preferred)
- Debug mechanical-electrical-control interactions
- Validate kinematics and dynamic behavior
Spatial Vision Integration
- Integrate 3D spatial vision outputs into robotic control systems
- Work with point cloud data, SLAM, and spatial mapping
- Align LiDAR-based 3D scanning with robotic coordinate frames
- Collaborate with AI team to enable:
- Autonomous positioning
- Object recognition
- Path planning
- Factory environment mapping
System Integration & Testing
- Lead hardware bring-up and validation
- Perform factory-level stress testing
- Develop testing protocols for autonomy performance
- Troubleshoot cross-domain system issues
Required Qualifications
- Bachelor's or Master's degree in:
- Mechatronics Engineering
- Robotics
- Mechanical Engineering
- Electrical Engineering
- or related field
- 3+ years of experience in robotics or automation systems
- Strong CAD design experience
- Experience in embedded firmware development (C/C++)
- Hands-on PCB schematic understanding
- Experience with motor control systems
- Strong debugging skills (hardware + software)
- Familiarity with ROS/ROS2
- Understanding of coordinate transformations and kinematics
Preferred Qualifications
- Experience with LiDAR or 3D vision systems
- Experience with industrial robotics or AGVs/AMRs
- Knowledge of SLAM and spatial perception algorithms
- Experience with CAN, UART, SPI, I2C communication protocols
- Familiarity with AI integration into robotic systems
- Experience in factory automation environments
- Understanding of safety standards for industrial robots
What Makes This Role Unique
- Direct involvement in building
autonomous factory robots powered by spatial AI - Integration of proprietary
LiDAR-based 3D scan interpolation technology - Opportunity to shape next-generation 3D spatial automation platforms
- Work in a fast-scaling robotics and AI-driven company preparing for global expansion
Growth Opportunity
- Lead role in full robotic system architecture
- Opportunity to transition into:
- Robotics System Architect
- Technical Lead – Autonomous Systems
- Head of Mechatronics
Tech Stack
- CAD: SolidWorks / Fusion 360
- Embedded: STM32 / ARM / ESP32
- Programming: C/C++, Python
- Robotics: ROS2
- Communication: CAN / UART / SPI / I2C
- Vision: LiDAR / Depth Cameras / 3D Spatial Mapping
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