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About the Role

We are seeking a Physical AI & Robotics Engineer to develop and integrate intelligent capabilities across the EY.ai Lab's robotics and Physical AI ecosystem. This is a hands-on engineering role at the intersection of robotics, machine learning, computer vision, multimodal AI, agentic AI, and software engineering. The role will focus on turning experimental capabilities into modular, reusable AI tools and services that can be integrated into broader enterprise AI and agentic platforms. The individual will also contribute to client demonstrations, innovation sessions, applied research, and the ongoing operation of the Physical AI Lab.

Responsibilities

Research emerging developments in Physical AI, robotics, multimodal foundation models, VLMs, VLAs, computer vision, and agentic systems.
Evaluate emerging robotics platforms, AI models, sensors, simulation technologies, and development frameworks.
Identify and prototype new Physical AI use cases across industries such as manufacturing, logistics, healthcare, infrastructure, and energy.
Design, develop, and evaluate control architectures for humanoid, quadruped, and other robotic platforms.
Develop multi modal data fusion pipelines using cameras, LiDAR, audio, telemetry, and other modalities for tasks such as localization, object detection, segmentation, tracking, pose estimation, scene understanding.
Experiment with and integrate Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, multimodal foundation models, and other emerging Physical AI approaches.
Train, fine-tune, evaluate, and deploy machine learning models for robotics and Physical AI use cases.
Develop and test robotic capabilities using simulation environments such as NVIDIA Isaac Sim, Gazebo, MuJoCo, or equivalent technologies.
Explore the use of LLMs and agentic AI to enable robots and physical systems to reason, plan, use tools, interact with their environments, and execute complex tasks.
Design experiments and evaluation approaches to measure model and system performance across real-world Physical AI scenarios.
Deploy and optimize AI and robotics workloads on edge computing platforms such as NVIDIA Jetson.
Develop high-quality Python software for robotics, AI/ML, automation, and system integration.
Build modular and reusable AI/robotics capabilities that can be consumed by other applications, agents, and enterprise AI platforms.
Design tools and services with well-defined APIs, input/output schemas, configuration, and reusable interfaces.
Integrate robotics and AI capabilities with agentic frameworks, orchestration platforms, enterprise applications, and external systems.
Develop APIs, services, SDK integrations, and containerized components to move prototypes toward reusable and scalable solutions.
Apply software engineering practices including source control, testing, documentation, configuration management, and maintainable component design.
Design and deliver compelling demonstrations of robotics and Physical AI capabilities for clients and internal EY teams.
Explain complex technical concepts clearly to both technical and business audiences.
Participate in innovation workshops and help translate business challenges into Physical AI use cases and prototypes.
Support the operation, configuration, maintenance, and continuous improvement of the Lab's robotics, AI, simulation, and edge-computing environments.

Requirements

Bachelor's or Master's degree in Robotics, Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
Understanding of robotics fundamentals including perception, localization, navigation, motion planning, kinematics, control.
Practical experience with computer vision and/or video processing, such as object detection, segmentation, tracking, pose estimation, or scene understanding.
Hands-on experience working with robotic platforms, sensors, robotic SDKs/APIs, 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 developing AI/ML, robotics, automation, or system-integration solutions.
Experience breaking down real world processes into components, and translating specifications of components into physical AI functions, objectives, and constraints.
Experience developing client-facing technology prototypes, demonstrations, or innovation solutions.

Skills

Physical AI
Robotics
Multimodal Foundation Models
VLMs
VLAs
Computer Vision
Agentic Systems
Machine Learning
Multimodal AI
Software Engineering
Humanoid Robots
Quadruped Robots
Sensors
Cameras
Edge Devices
Simulation Environments
NVIDIA Isaac Sim
Gazebo
MuJoCo
LLMs
Python
ROS/ROS2
PyTorch
TensorFlow
Hugging Face
Docker
Git
REST APIs
CI/CD
C++

Location

Remote

Work Type

Full-time

Experience Level

Mid-level

Education Level

Bachelor's Degree
Master's Degree

Salary/Compensations

88K - 132K CAD

About the Company

The EY.ai Lab is a dedicated environment for exploring how artificial intelligence can interact with and operate within the physical world.
The Lab brings together humanoid and quadruped robots, sensors, edge computing, computer vision, multimodal AI, simulation technologies, and emerging Physical AI capabilities.
The Lab provides an applied R&D environment where EY teams and clients can rapidly experiment with, prototype, evaluate, and demonstrate AI-enabled physical systems before deploying them into real-world environments.