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TELUS Digital

Roboticist – Embedded AI, Machine Learning, Computer Vision

TELUS Digital

. Act as the primary robotics subject-matter advisor in client conversations and co-design solutions .

Posted 11/10/2026full-timeRemote • United StatesMid-LevelSenior💰 $128,000 - $160,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in robotics and embodied-AI, with strong capabilities in computer vision, sensor calibration, and machine learning. Proven ability to translate technical requirements into actionable solutions while collaborating across diverse teams and engaging with clients.

Highest-signal resume keywords
Robotics EngineeringComputer VisionSensor CalibrationPython ProgrammingClient-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Robotics Machine LearningDetectionSegmentationPose Estimation3D GeometryLiDAR ProcessingVLA ArchitecturesSim-to-Real ExperienceOptical FlowData Collection Methods
Soft Skills
Cross-Functional CollaborationTechnical TranslationClient Engagement
Tools & Technologies
Isaac SimMuJoCoGazeboUnity Robotics HubPostgreSQLRESTGRPC
Industry Keywords
Embodied-AIAutomationRobotics TrendsData Collection PipelinesMulti-Camera Systems

Tech Stack

Tools & technologies
GRPCPostgresPythonPyTorchUnity

About the role

Key responsibilities & impact
  • Act as the primary robotics subject-matter advisor in client conversations and co-design solutions
  • Design and build computer vision and perception systems for detection, segmentation, and pose estimation
  • Work with 3D geometry, camera models, projection, coordinate frames, sensor calibration, sensor fusion, and LiDAR processing
  • Design egocentric data-collection pipelines using head/wrist cameras, depth, and IMU for robot learning
  • Evaluate, integrate, and fine-tune VLA models under data and compute constraints
  • Build REST/gRPC and PostgreSQL services exposing model inference and robotics services
  • Define success with clients and shape program scope, staffing models, and equipment needs
  • Provide robotics and embodied-AI domain leadership across hardware, data collection, simulation, and emerging models
  • Translate client technical requirements into executable specifications for Operations, Solutions, and Quality
  • Identify and help shape robotics-related opportunities with Commercial
  • Provide real-time technical feedback on equipment, calibration, and field performance during pilots and live programs
  • Coordinate US/EU robotics solution requests with India/APAC teams across time zones

Requirements

What you’ll need
  • 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, combined with hands-on build/deploy experience
  • Strong computer vision and perception, including detection, segmentation, pose estimation, and optical flow
  • Strong 3D geometry knowledge, including SE(3), camera models, projection, and coordinate frames
  • Sensor calibration and fusion, including LiDAR–camera, plus LiDAR processing
  • Sim-to-real experience with Isaac Sim, MuJoCo, Gazebo, or Unity Robotics Hub
  • Conceptual grasp of VLA architectures and current SOTA landscape
  • Strong Python and PyTorch skills; ability to read and implement research papers
  • Knowledge of robotics and embodied-AI industry trends, data collection methods, and deployment models
  • 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
  • Ability to read and critically interpret state-of-the-art technical reports from frontier robotics labs
  • Willingness and ability to travel to data collection sites globally as needed

Benefits

Comp & perks
  • Annual performance bonus up to 7%
  • Remote work arrangement
  • Travel support for client meetings and hands-on site support