Roboticist (Embodied AI, Machine Learning, Computer Vision)

TELUS Digital

1d•$128,000 - $160,000•Remote

About The Position

TELUS Digital is hiring a Roboticist (Senior Robotics Applied AI Engineer) to advise global robotics and embodied-AI clients while designing and shipping working solutions. This is a hands-on solutions-lead role spanning concurrent client engagements, large-scale data collection, field deployments, and program design. The role builds perception systems, data pipelines, and model integrations, and helps clients shape programs around their goals and constraints. The Roboticist is the senior robotics engineering contact for requests originating in the US and EU, coordinating with teams in India/APAC to take solutions from blueprint to production across time zones. Internally, the role connects client objectives with Commercial, Solutions, Operations, and Quality teams. The position is remote and US-based, with travel for client meetings and hands-on site support, including data-collection locations. The work includes computer vision and perception systems, 3D geometry, sensor calibration and fusion, LiDAR processing, egocentric data-collection pipelines, VLA model evaluation and integration, and supporting services for model inference and robotics. The role also supports client scoping and commercial opportunities, and provides technical feedback during pilots and live programs.

Requirements

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.
Client-facing or presales experience on robotics, automation, or embodied-AI programs, combined with hands-on solution-building and deployment experience.
Strong computer vision and perception skills, including detection, segmentation, pose estimation, and optical flow.
Knowledge of 3D geometry, including SE(3), camera models, projection, and coordinate frames.
Experience with sensor calibration and fusion, including LiDAR–camera, and with LiDAR processing.
Sim-to-real experience using tools such as Isaac Sim, MuJoCo, Gazebo, or Unity Robotics Hub.
Conceptual understanding of VLA architectures and the current state-of-the-art landscape.
Strong Python skills and PyTorch experience; ability to read and implement research papers.
Working knowledge of current robotics and embodied-AI industry trends, data-collection methods, and deployment models.
Ability to translate technical details into business-relevant recommendations for non-technical stakeholders.
Ability to work cross-functionally with Commercial, Solutions, Operations, and Quality teams.
Hands-on experience with multi-camera systems, including calibration, synchronization, and tracking.
Strong grounding in computer vision fundamentals, including object detection, pose estimation, segmentation, and sensor fusion, and their application to robotic perception.
Ability to read and critically interpret state-of-the-art technical reports from frontier labs developing general-purpose humanoid and non-humanoid robots.
Willingness and ability to travel globally to data-collection sites as needed.

Nice To Haves

Experience supporting global or multi-region client engagements.

Responsibilities

Advise clients on robotics approaches, equipment, and program design, co-designing and iterating solutions to meet their objectives.
Design and build computer vision and perception systems, including detection, segmentation, and pose estimation, using underlying 3D geometry.
Own sensor calibration and fusion, including intrinsic and extrinsic calibration, hand-eye calibration, LiDAR–camera fusion, and LiDAR processing.
Design egocentric data-collection pipelines using head and wrist cameras, depth sensors, and IMUs for robot learning.
Evaluate, integrate, and fine-tune VLA models within data and compute constraints.
Build supporting services, including REST/gRPC and PostgreSQL-based services, to expose model inference and robotics functionality.
Define success with clients and shape program scope, staffing models, and equipment requirements around the intended outcome; identify and communicate when an initial request is unlikely to achieve that outcome.
Apply knowledge of robotics and embodied AI hardware, data collection, simulation, and emerging models to develop actionable client solutions.
Translate client technical requirements into executable specifications for Operations, Solutions, and Quality, and communicate internal constraints and trade-offs to clients accurately and early.
Identify and help develop robotics opportunities within current and prospective client accounts, supporting Commercial with technical expertise.
Provide real-time technical feedback on equipment, calibration, and field performance during pilots and live programs, escalating issues before they affect quality, timelines, or service-level standards.
Coordinate with India/APAC teams to support delivery of US/EU robotics engagements across regions and time zones.
Travel to client meetings and data-collection sites as needed to support engagements.