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Added 1 month ago
GD
Co-op Winter 2027 – Systems Test Engineering - 4-8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Some project based experience with particular emphasis in the testing role would be an asset
Added 2 months ago
Short Term 2027 Machine Learning/Artificial Intelligence Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
…development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role…
Added 2 months ago
Summer 2027 Long Term Machine Learning/Artificial Intelligence Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
…development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role…
Added 2 months ago
Short Term 2027 Program Management Intern/Co-Op
Advanced Micro Devices, Inc
Calgary, AB
We will be working collaboratively with the AMD project management office and engineering community to help continuous system and process improvement and be efficient.
Added 2 months ago
Summer 2027 Long Term Program Management Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
We will be working collaboratively with the AMD project management office and engineering community to help continuous system and process improvement and be efficient.
Added 2 months ago
Short Term 2027 Program Management Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
We will be working collaboratively with the AMD project management office and engineering community to help continuous system and process improvement and be efficient.
Added 2 months ago
I
Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
- $65,166.4 to $100,547.2 CAD / year
- Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 2 months ago
I
Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Montreal, QC
- $65,166.4 to $100,547.2 CAD / year
- Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 2 months ago
L
Process Engineer Co-op/Intern
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Added 2 months ago
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Physical AI Engineer
EY
Toronto, ON
- Full-time
Strong Python software engineering skills with hands-on experience developing AI/ML, robotics, automation, or system-integration solutions.
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York,…
Added 2 months ago
FE
Data Engineer
Future Electronics
Kirkland, QC
- Full-time
…business intelligence and advanced analytics while working closely with analysts, data scientists, architects, and business…
Added 2 months ago
BS
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
- Contract
Develop automation scripts and platform tooling using Python and Bash.
Added 2 months ago
OM
Director, Audience Strategy
Omnicom Media
Toronto, ON
- Full-time
Leveraging your industry knowledge and leadership skills, you will work with internal product teams and vendors partners to grow our capabilities.
Added 1 month ago
W
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
Added 2 months ago
EG
AI - Full Stack Engineer
Emterra Group
Remote, Canada
- $110,000 to $120,000 CAD / year
- Full-time
- Remote
…organics, and waste that keep our communities clean and safe. With customer service and safety as our focus, we are looking for an energetic and driven employee to support our growing…
Added 2 months ago
Senior Solutions Architect, ISV Canada
Amazon
Toronto, ON
- Experience with scripting, automation, and software development in multiple languages (Python, JavaScript, Java, etc.)
Added 2 months ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
…portfolio of vertical market B2B SaaS companies - and we operate with a startup mindset: high ownership, high velocity, and real…
Added 2 months ago
Director, AI & Data Science
Artefact
Montreal, QC
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business…
Added 2 months ago
Director, AI & Agentic Engineering
Artefact
Montreal, QC
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business…
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Strong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services.
Added 2 months ago
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Manager, Customer Analytics (Sales & Marketing)
Jobber
Remote, Canada
- Full-time
- Remote
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service…
Added 2 months ago
C
Software Development Co-op
commonsku
Remote, Canada
- $3,500 to $4,800 CAD / month
- Full-time
- Remote
…projects, building quotes, placing orders, and collaborating with clients and suppliers seamlessly through the power of the Connected…
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 2 months ago
C
Senior Design Verification Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
We are seeking a Senior Design Verification Engineer who can combine strong verification expertise with applied AI/ML collaboration to help build production-grade tools for chip…

Physical AI Engineer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Aug 27, 2026

Original job description

About The EY.ai Lab

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.

Role Overview

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 successful candidate will work directly with humanoid robots, quadrupeds, sensors, cameras, edge devices, and simulation environments while developing the AI capabilities that enable these systems to perceive, reason, interact, and act within physical environments.

The role will also focus on turning experimental capabilities into modular, reusable AI tools and services that can be integrated into broader enterprise AI and agentic platforms.

In addition to technical development, the individual will contribute to client demonstrations, innovation sessions, applied research, and the ongoing operation of the Physical AI Lab.

Key Responsibilities

Research & Innovation

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.

Physical AI & Applied AI Development

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.

AI Platform & Software Engineering

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.

Client Engagement & Lab Operations

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.

Required Qualifications

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.

Preferred Skills & Experience

Ability to work independently.
Hands on experience with physical AI hardware, including motors, sensors, edge devices, and communication devices.
Experience with modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, or equivalent technologies.
Strong foundation in machine learning and data science, including data preparation, model development, training, evaluation, experimentation, and deployment.
Experience integrating LLMs or agentic AI frameworks with robotic systems, tools, APIs, or external applications.
Experience with Docker, Git, REST APIs, CI/CD, and modern software development practices.
C++ experience, particularly within robotics or high-performance systems.

What Success Looks Like

The successful candidate will be able to bridge the gap between AI research, robotics, and practical software engineering. They will be comfortable moving from experimentation with a new AI model to integrating it with a physical robot, testing it in simulation and real-world environments, and packaging the resulting capability so that it can be reused by other applications and AI agents.

They will help transform the EY.ai Lab from a collection of advanced physical technologies into an integrated Physical AI experimentation and innovation environment, where robots, multimodal AI, intelligent agents, sensors, and enterprise software can work together to solve real-world problems.

Range: 88K - 132K CAD

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More about this job

Responsibilities

Develop and integrate intelligent capabilities for humanoid and quadruped robots within the EY.ai Lab. This includes designing control architectures, implementing multimodal data fusion, and turning experimental AI prototypes into modular enterprise tools.

Requirements

Requires a degree in Robotics, Computer Science, or a related field with practical experience in ROS/ROS2 and robotics simulation. Candidates must possess strong Python skills and experience with computer vision and multimodal foundation models.

Skills

Robotics
Machine Learning
Computer Vision
Python
ROS/ROS2
Multimodal AI
NVIDIA Isaac Sim
Edge Computing
Control Architectures
Vision-Language Models
Reinforcement Learning
Software Engineering
Simulation
Data Fusion
Agentic AI
PyTorch

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Humanoid Robots
Quadruped Robots
VLM
VLA
NVIDIA Jetson
Gazebo
MuJoCo
LiDAR
Pose Estimation
Scene Understanding
LLMs
Docker
Git
REST APIs
CI/CD
C++
TensorFlow
Hugging Face
Imitation Learning
Kinematics
Motion Planning
Localization
Edge Computing
Agentic Frameworks
Professional Services

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