Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location & Flexibility

India Hybrid

Our team at TELUS Digital. To help retain our deep culture of collaboration, this role will maintain an in-office presence in a hybrid capacity . This role can be located in Bengaluru.

The Opportunity

We're hiring a Senior AI Engineer to own client engagements end to end across Physical AI and robotics — from understanding a client's real-world environment and constraints, to designing the perception and robotics ML solution, to building it hands-on through to delivery.

This is a solutions-lead role that codes. You drive the engagement from problem to production and are a strong enough perception engineer to be trusted in front of clients and to write the code that ships. The technical spine is computer vision, perception, and 3D geometry; the surrounding robotics stack — LiDAR, calibration, sim-to-real, VLA models — is where you apply that core to real deployments. You own the "can we actually do this?" answer, and then you go build it. You are research-aware, principled in how you diagnose problems, and comfortable operating where best practices are still being defined.

Responsibilities

Own client engagements end to end — technical discovery, solution architecture, hands-on build, and delivery — acting as the technical authority on feasibility.

Translate ambiguous real-world problems into concrete perception and robotics ML architectures; lead demos and proof-of-concept scoping.

Design and build CV and perception systems — detection, segmentation, pose estimation — on the 3D geometry underneath (SE(3), camera models, projection, coordinate frames).

Own sensor calibration and fusion — intrinsic/extrinsic, hand-eye, and LiDAR–camera — plus LiDAR processing (registration, ground segmentation, object detection).

Design egocentric data collection pipelines using wrist/head-mounted cameras, depth sensors, and IMU for robot learning.

Bridge simulation and deployment via domain randomization, sim setup, and sim-to-real gap analysis.

Evaluate, select, and integrate VLA models, and fine-tune large pretrained models under data and compute constraints.

Build supporting services — agentic loops, REST/gRPC APIs, and PostgreSQL — to expose model inference and robotics services.

Mentor engineers, drive principled decisions (diagnose before solving), and translate current research into practical client implications.

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field

Bonus Points

Agentic systems and prompt engineering — tool-use agents and multi-step planners.

API development (REST/gRPC, Docker, basic CI/CD) and PostgreSQL.

ROS / ROS2 or equivalent robotics middleware.

C# for Unity-based simulation and tooling.

Fine-tuning large pretrained models under data/compute constraints.

Edge/onboard optimization — TensorRT, ONNX, quantization.

RL / RLHF, motion planning, kinematics, or URDF.

Hands-on with robot hardware (Franka, UR, Unitree, or similar).

Research orientation — tracks arXiv, forms opinions from first principles.

Publications, open-source work, or notable projects in robot learning or Physical AI.