Autonomous Robotics AI Engineer

Blue Signal; Vancouver; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A rapidly scaling technology innovator in Vancouver is seeking a skilled Autonomous Robotics AI Engineer to design and implement AI-driven models for robotics systems. The role involves developing predictive motion algorithms and integrating machine learning with robotic platforms. Ideal candidates should have a background in Computer Science or related fields and be proficient in Python and robotics frameworks. The position offers competitive compensation and a flexible hybrid work model.

Benefits

Competitive compensation

Flexible hybrid schedule

Professional development budget

Qualifications

• Minimum 2 years of hands-on experience in robotics or machine learning applications.
• Solid grounding in algorithms for perception, planning, control, and multi-sensor data processing.

Responsibilities

• Design and implement AI-driven perception models, including object detection.
• Develop predictive motion algorithms and dynamic obstacle tracking.
• Integrate ML and AI models with robotic platforms.

Skills

Python skills

Machine learning frameworks (PyTorch, TensorFlow, scikit-learn)

Robotics systems tools (ROS / ROS2, Gazebo)

Algorithms for perception, planning, control

Education

Bachelor’s or Master’s in Computer Science, Robotics, Electrical Engineering

Tools

ROS / ROS2

CUDA (for NVIDIA Jetson)

Job description

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 / ROS2.
• 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, TensorFlow, 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.