Robotics Integration Engineer – Robot, Vision & Edge Connectivity ON

509087

05-Ago-2026

Research & Development

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We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

About the role:
Robotics Integration Engineer for Robot, Vision, and Edge Connectivity

Are you a robotics software engineer who enjoys connecting real-world systems to scalable software platforms?

Do you like working with robots, cameras, sensors, edge systems, APIs, and data flows that bridge physical systems and software intelligence?

We are seeking a Robotics Integration Engineer to connect robot systems, camera systems, sensors, edge devices, and teleoperation or runtime-adjacent data sources into the Canada Physical AI platform. This role is critical for enabling practical data collection, connector strategies, and the foundations for future workflow execution and Level 3 skill support.

You will help ensure that real industrial robotics and sensing systems can be integrated into a coherent, reliable, and reusable platform architecture!

What will you do?

• Build and maintain integrations with robot controllers, camera systems, sensors, PLC/edge systems, and other physical data sources.
• Develop connector patterns for robot state, action, telemetry, timing, event, and perception data.
• Support practical approaches for high-frequency data capture and synchronization where needed.
• Integrate robotics-related software components such as ROS/ROS2, device SDKs, vendor APIs, and edge adapters where appropriate.
• Collaborate with platform architects and backend engineers to define reusable interface contracts between physical systems and platform services.
• Help enable basic VLA data collection patterns by combining robot state and vision/perception streams.
• Support data quality, calibration, time stamping, modality alignment, and integration troubleshooting.
• Contribute to the design of validation and inspection workflows for robotics episodes and system behavior.
• Help shape future support for workflow execution and machine-level orchestration by ensuring connectivity designs are scalable and extensible.
• Work closely with customer-facing or pilot-oriented teams when new robotic sources must be onboarded.

What you will bring:

• Master’s degree or equivalent experience in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related field.
• 5+ years of experience with robotics software, integration engineering, or edge-connected systems.
• Experience with Python and/or C++ in robotics or integration-heavy environments.
• Familiarity with ROS/ROS2, robot APIs, camera/sensor systems, and practical integration debugging.
• Understanding of robot-state data, telemetry, task execution context, and perception or control-adjacent signals.
• Strong systems thinking and comfort working across hardware-software boundaries.
• Ability to work hands-on in a fast-moving, cross-disciplinary engineering team.

What sets you apart:

• Experience with industrial robots, PLC-connected systems, teleoperation data, or industrial camera systems.
• Experience with time synchronization, multimodal sensor fusion, or high-throughput data capture.
• Familiarity with UR, RTDE-like interfaces, edge compute setups, or industrial middleware.
• Exposure to robotics validation harnesses, simulation environments, or physical AI experimentation.

Why Join Us?

• Impact:
  Build the founding team and platform capability for a strategic Physical AI initiative in Canada.
• Innovation:
  Work at the intersection of robotics, AI, industrial software, workflow orchestration, and platform engineering.
• Leadership:
  Shape the direction, culture, and operating model of a new strategic engineering organization.
• Collaboration:
  
  Partner with leading global research, product, and engineering teams.
• Growth:
  Help define how Physical AI platform capabilities scale from data foundations to runtime-enabled industrial applications.

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