[Hiring] Roboticist @TELUS Digital

Role Description

We’re hiring a Roboticist (Senior Robotics Applied AI Engineer) to serve as a trusted advisor to our global robotics and embodied-AI clients — and the engineer who ships the solution. This is a solutions-lead role that codes, not consultation alone. Our Roboticist will apply the same consultative, outcome-driven approach across accounts and geographies as our robotics practice grows.

• Flex across concurrent client engagements, each with its own goals, constraints, and regional considerations.
• Guide clients through large-scale data collection, field deployments, and program design.
• Build perception systems, data pipelines, and model integrations.
• Act as the vital bridge between client vision and execution.
• Coordinate with our India/APAC team to move solutions from blueprint to production across time zones.

Qualifications

• Background in robotics, mechatronics, robotics engineering, or a closely related technical field.
• Experience in robotics machine learning, computer vision, or technical solutions engineering, with a track record of shipping to production.
• Demonstrated client-facing or presales experience on robotics, automation, or embodied-AI programs.
• Strong computer vision and perception (detection, segmentation, pose estimation, optical flow) and 3D geometry (SE(3), camera models, projection, coordinate frames).
• Sensor calibration and fusion, including LiDAR–camera, plus LiDAR processing; and sim-to-real experience (Isaac Sim, MuJoCo, Gazebo, or Unity Robotics Hub).
• Conceptual grasp of VLA architectures and the current SOTA landscape; strong Python (PyTorch).
• Strong working knowledge of current robotics and embodied-AI industry trends, data collection methods, and deployment models.
• Proven ability to translate technical detail into business-relevant recommendations for non-technical stakeholders.
• Comfortable operating cross-functionally across Commercial, Solutions, Operations, and Quality teams.
• Experience supporting global or multi-region client engagements preferred.
• Hands-on experience with multi-camera systems, including calibration, synchronization, and tracking.
• Solid grounding in computer vision fundamentals — object detection, pose estimation, segmentation, sensor fusion.
• Ability to read and critically interpret state-of-the-art technical reports published by frontier labs.
• Willingness and ability to travel to data collection sites (globally) as needed to support engagements.

Requirements

• Strong experience in machine learning, computer vision, technical solutions engineering.

Benefits

• Remote US-based role requiring travel for client meetings and hands-on site support.