Correct-AI is a fast-growing Canadian robotics and AI company developing intelligent perception and control systems that make vehicles safer, smarter, and more autonomous. Our technologies combine advanced computer vision, LiDAR, sensor fusion, and machine learning to enable real-time situational awareness and decision-making for heavy equipment and autonomous vehicle platforms.

We work closely with industry partners to deliver scalable, safety-focused autonomy solutions that enhance navigation, obstacle detection, and operator assistance in challenging real-world environments.

The Opportunity

Correct-AI is seeking a Robotics & Software Engineer to join our core development team. The successful candidate will work on the design, integration, and testing of autonomous vehicle features, with a focus on perception, control, and embedded software systems. You’ll collaborate with AI, systems, and hardware engineers to bring advanced autonomy functions from concept to field-ready implementation.

Key Responsibilities

• Develop and integrate software for autonomous perception and control systems.
• Implement and optimize Python and C++ applications for real-time robotics platforms (Linux-based).
• Work with sensor data (camera, LiDAR, GPS, IMU) for fusion, tracking, and object detection.
• Design and maintain ROS2-based interfaces for vehicle communication, control, and diagnostics.
• Contribute to testing, simulation, and deployment of autonomy features on embedded hardware.
• Collaborate with AI engineers on model integration, system performance, and safety validation.
• Support the continuous improvement of Correct-AI’s software stacks, from perception to actuation.

Minimum Qualifications

Preferred Qualifications (Assets)

• Experience with ROS2 and Autoware or other autonomy frameworks.

Candidate Profile

• Innovative & Analytical – You enjoy tackling complex robotics challenges through experimentation and iteration.
• Software-Focused – You write clean, modular code and care about system robustness and maintainability.
• Collaborative – You thrive in a cross-disciplinary environment with hardware, AI, and systems engineers.
• Mission-Driven – You want to make autonomy safer, more reliable, and accessible to real-world applications.

Compensation & Environment

Correct-AI offers a competitive compensation package (salary + bonus + benefits) and the opportunity to apply cutting-edge robotics and AI technologies to meaningful safety and mobility challenges. Our Edmonton headquarters provide a collaborative, research-driven environment with hands-on access to real vehicles and test platforms.