Physical AI & Robotics Engineer

EY; Toronto; On-site; CAD 88,000 - 132,000; Full time

Job summary

EY.ai Lab in Toronto seeks a Physical AI & Robotics Engineer to develop and integrate intelligent capabilities across robotics and Physical AI ecosystems. You will work with humanoid and quadruped robots, sensors, cameras, edge devices, and simulation environments while building AI capabilities for perception, reasoning, interaction, and action in physical environments.

The role focuses on turning experimental capabilities into modular, reusable AI tools and services for broader enterprise

Qualifications

• Bachelor's or Master's degree in Robotics, Engineering, Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Understanding of robotics fundamentals including perception, localization, navigation, motion planning, kinematics, control.
• Hands-on experience with robotics platforms, sensors, or autonomous systems using edge devices.
• Experience with robotics simulation environments such as NVIDIA Isaac Sim, Gazebo, or MuJoCo.
• Hands-on experience with ROS/ROS2.
• Experience with Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, imitation learning, and reinforcement learning.
• Strong Python software engineering skills with hands-on experience in AI/ML, robotics, automation, or system-integration solutions.

Responsibilities

• Research emerging Physical AI, robotics, multimodal foundation models, VLMs, VLAs, computer vision, and agentic systems.
• Design, develop, and evaluate control architectures for humanoid and quadruped platforms.
• Develop multi-modal data fusion pipelines from cameras, LiDAR, audio, telemetry, and other modalities.
• Train, fine-tune, evaluate, and deploy ML models for robotics and Physical AI use cases.
• Develop and test robotic capabilities using simulation environments such as NVIDIA Isaac Sim, Gazebo, MuJoCo.
• Explore use of LLMs and agentic AI to enable robots to reason, plan, and execute complex tasks.
• Design experiments to measure model and system performance in real-world scenarios.
• Deploy and optimize AI and robotics workloads on edge computing platforms.

Skills

Python

C++

ROS/ROS2

Docker

Git

REST APIs

CI/CD

Vision-Language Models

VLA models

Edge computing

Machine Learning

Robotics

Education

Bachelor's/Master's in Robotics, Engineering, CS, AI, ML

Tools

NVIDIA Isaac Sim

Gazebo

MuJoCo

Job description

EY.ai Lab in Toronto seeks a Physical AI & Robotics Engineer to develop and integrate intelligent capabilities across robotics and Physical AI ecosystems. You will work with humanoid and quadruped robots, sensors, cameras, edge devices, and simulation environments while building AI capabilities for perception, reasoning, interaction, and action in physical environments.

The role focuses on turning experimental capabilities into modular, reusable AI tools and services for broader enterprise