WHO WE ARE
Welcome to TELUS Digital https://www.telusdigital.com/— where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS https://www.telus.com/en/, 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).
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