Sr. AI Engineer, Physical AI & Robotics
TELUS Digital6 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Own client engagements end to end, including technical discovery, solution architecture, hands-on development, and delivery.
- Translate ambiguous real-world problems into perception and robotics ML architectures and lead demonstrations and proof-of-concept scoping.
- Design and build computer vision and perception systems for detection, segmentation, and pose estimation using 3D geometry.
- Develop sensor calibration and fusion systems, including intrinsic/extrinsic, hand-eye, and LiDAR-camera calibration.
- Process LiDAR data for registration, ground segmentation, and object detection.
- Build egocentric data collection pipelines using wrist- and head-mounted cameras, depth sensors, and IMUs.
- Bridge simulation and deployment through domain randomization, simulation setup, and sim-to-real analysis.
- Evaluate, select, integrate, and fine-tune VLA models under data and compute constraints.
- Build agentic loops, REST/gRPC APIs, PostgreSQL-backed services, and robotics model-inference services.
- Mentor engineers, make principled technical decisions, and translate current research into client implications.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience designing and implementing computer vision, perception, robotics ML, 3D geometry, sensor calibration, and LiDAR-processing systems.
- Ability to lead client-facing technical discovery, solution architecture, proof-of-concept development, and delivery.
- Experience evaluating or fine-tuning large pretrained or VLA models under data and compute constraints is preferred.
- Experience with agentic systems, prompt engineering, tool-use agents, and multi-step planners is preferred.
- API development with REST/gRPC, Docker, basic CI/CD, and PostgreSQL is preferred.
- ROS/ROS2 or equivalent robotics middleware experience is preferred.
- C# and Unity-based simulation and tooling experience is preferred.
- TensorRT, ONNX, quantization, reinforcement learning, RLHF, motion planning, kinematics, or URDF experience is preferred.
- Hands-on experience with robot hardware such as Franka, UR, Unitree, or similar is preferred.
- Publications, open-source work, notable projects, or a research orientation in robot learning or physical AI are preferred.
Benefits
- Hybrid work arrangement with an in-office presence in Bengaluru, India.
Tech Stack
Categories
ML EngineeringRobotics
About TELUS Digital
TELUS Digital is the in-house digital product and consulting arm of TELUS, one of Canada’s largest telecommunications providers. It designs and operates customer-facing platforms—mobile apps, websites, voice and chat interfaces—and enterprise services spanning cloud engineering, data/AI, digital marketing, QA, and operations modernization for TELUS lines of business and select partners. Headquartered in Vancouver with a distributed global team, it sits under TELUS’s public company umbrella (NYSE: TU, TSX: T).