Autonomous Robotics AI Engineer

Title:

Autonomous Robotics AI Engineer

Location:

Vancouver, CA (Hybrid or On-site)

A rapidly scaling technology innovator is building the next generation of intelligent robotics—and they are hiring a highly skilled Autonomous Robotics AI Engineer to join the mission. This role presents the chance to help shape advanced robotics systems capable of operating autonomously in real-world, dynamic environments. The ideal candidate brings a passion for robotics, a knack for machine learning, and a drive to solve complex perception and control challenges.

Key Responsibilities:

• Design and implement AI-driven perception models, including object detection, SLAM, and sensor fusion systems.

• Develop predictive motion algorithms and dynamic obstacle tracking for autonomous path planning.

• Build and optimize decision-making frameworks to power real-time robotic autonomy and control.

• Integrate ML and AI models with robotic platforms using middleware such as ROS/ROS
2.

• Collaborate with hardware and software engineering teams to deploy scalable solutions in real-world environments.

• Test and validate system performance through offline simulations and real-time on-platform evaluations.

• Tune model efficiency for edge computing environments using platforms such as NVIDIA Jetson.

Candidate Requirements:

• Bachelor’s or Master’s in Computer Science, Robotics, Electrical Engineering, or related technical field.

• Minimum 2 years of hands-on experience in robotics or machine learning applications, whether academic or commercial.

• Strong Python skills and fluency in ML frameworks such as PyTorch, Tensor Flow, and scikit-learn.

• Proficient with robotic systems tools including ROS/ROS2, Gazebo, and real-time embedded environments.

• Solid grounding in algorithms for perception, planning, control, and multi-sensor data processing.

Preferred Qualifications:

• Practical experience with autonomous ground robots or robotic arms.

• Background in C++, edge computing, or embedded system integration.

• Expertise in SLAM, sensor calibration, or multi-agent robotic coordination.

• Previous contributions to production-level robotics projects or peer-reviewed research.

What’s in it for You:

• Work on some of the most advanced robotics systems in development today.

• Competitive compensation and performance-based incentives.

• Flexible hybrid schedule at a BC-based robotics development center.

• Dedicated professional development budget and visibility into international robotics R&D.