We are seeking a technically fluent Pre-Sales Consultant to join our Physical AI Solutions team. In this role you will serve as the connective tissue between prospective customers and our delivery organization, translating complex robotics and autonomous-systems requirements into compelling, commercially viable solution proposals. You will work across our three core service lines ADAS Data Collection & Labeling, Robotics Data Collection & Labeling, Computer Vision data solutions to shape deals that accelerate the development of ADAS systems, vision-language-action (VLA) models, and sim-to-real transfer pipelines.Key Responsibilities - Solution Design & Scoping: Partner with prospects to understand their robotics model-training pipelines (VLM pre-training, VLA fine-tuning, RL alignment) and design data collection & labeling solutions that map to each stage. - Technical Discovery: Lead technical discovery sessions covering sensor modalities (LiDAR, radar, camera, IMU), annotation taxonomies (3D bounding boxes, semantic segmentation, 6-DoF pose), and simulation requirements (Isaac Sim, Real2Sim asset creation). - Proposal Development: Author technical proposals, SOWs, and RFP/RFI responses that articulate data pipelines, quality frameworks, tooling (e.G., proprietary labeling platforms), and delivery timelines. - Cross-Functional Collaboration: Work closely with Engineering, Delivery, and Product teams to validate feasibility, refine pricing models, and ensure smooth handoff from pre-sales to production. - Market Intelligence: Stay current on robotics industry trends, foundation models, sim-to-real transfer, egocentric AI, 3D kinematics, reinforcement learning and feed insights back into go-to-market strategy. - Customer Presentations & Demos: Develop and deliver tailored presentations, proof-of-concept demonstrations, and workshop sessions for technical and executive audiences.Required Qualifications - 5+ years in a pre-sales, solutions engineering, or technical consulting role within data services, AI/ML, or robotics. - Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field. - Strong understanding of autonomous driving and/or robotics data pipelines: sensor fusion, data collection at scale, annotation workflows, and quality assurance. - Familiarity with machine learning model-training workflows, including data curation, labeling taxonomies, and evaluation metrics. - Experience with at least two of: LiDAR point-cloud processing, camera/image annotation, 3D reconstruction, or simulation environments. - Proven ability to translate complex technical requirements into clear proposals and commercial terms. - Excellent communication and stakeholder management skills;
comfortable presenting to both engineers and business teams.Preferred Qualifications - Direct experience with ADAS or L2–L5 autonomous driving programs at an OEM, Tier-1, or technology partner. - Hands-on exposure to VLMs, VLAs, or sim-to-real transfer techniques. - Familiarity with NVIDIA Isaac Sim, Omniverse, or equivalent robotics simulation platforms. - Experience scoping egocentric data collection projects (AR/VR headsets, wearable sensors). - Prior work at a Robotics, ADAS or AI training-data company. - Master’s degree or higher in a relevant technical discipline.What We Offer - A front-row seat to the Physical AI revolution, working with leading robotics and autonomous vehicle companies worldwide. - Competitive base salary. - Comprehensive benefits package. - Flexible remote-first culture.**At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity. Please send us your complete resume in English.