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Autonomous Robotics AI Engineer

Blue Signal

Vancouver · Hybrid Full-time 2w ago

About the role

Autonomous Robotics AI Engineer
Location: Vancouver, CA (Hybrid or On-site)

About

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.

Requirements

  • 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.

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.

Benefits

professional development budget

Skills

AIGazeboMLNVIDIA JetsonObject detectionPyTorchPythonROSROS2SLAMscikit-learnsensor fusionTensorFlow

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