Jobs in Canada

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Added 4 days ago
C
Software Engineer - Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
Proficient programming skills in python, node.js, and/or rust.
Added 4 days ago
RE
Principal Engineer Physical AI Systems Modeling
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking a Principal Engineer (Physical AI - System Modeling) to join the Pathfinding Studio within the Engineering Innovation Office. As a technical thought leader and principal…
Added 4 days ago
RE
Staff Engineer Physical AI Systems
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking a Staff Engineer (Physical AI - System Engineering) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will develop and validate…
Added 4 days ago
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Senior Java Full Stack Developer
EngRadar
Ottawa, ON
- Volunteer
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 4 days ago
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Senior AI Engineer - Oncology Biometrics
WATAR-AI
Canada
- Full-time
Build production backend services (Python, FastAPI), RAG pipelines, and MCP/API integrations with enterprise systems, and deliver the user-facing application, directly or with front-end…
Added 4 days ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
As Senior Full Stack Engineer in AI Engineering within US Functions Technology (Finance, Risk, Law & Audit), you will be a hands-on contributor helping modernize how US corporate functions…
Added 4 days ago
AL
GenAI DevOps Engineer / AI Engineer
Accion Labs
Canada
- Contract
Added 4 days ago
DT
Scientist
Dragonfleye Therapeutics Corp.
Toronto, ON
- Full-time
…Learn more at dragonfleyecorp.com. This role is the hands-on engineer who turns injector concepts into working…
Added 4 days ago
SL
Student, Associate DevOps Engineer (Winter 2027)
Sun Life
Waterloo, ON · Sun Life Waterloo King
- Full-time
The Canadian Engineering team is looking for an Associate DevOps Engineer with an interest in designing, developing, implementing, supporting, and analyzing large-scale tooling and systems…
Added 4 days ago
Advanced DevOps Engineer - EA Sports Technology
Electronic Arts
Vancouver, BC
The EA SPORTS™ Technical Team is seeking an experienced DevOps Engineer to join the organization. This role is ideal for someone with a strong passion for technology and deep experience…
Added 4 days ago
ES
Engineer in Training (EIT)
ENTRUST Solutions Group
AB · Calgary, AB
- Full-time
ENTRUST Canada is currently seeking a SCADA Engineer/Engineer-in-Training to join our team. Our team delivers specifications and designs for SCADA and communications systems at the site…
Added 4 days ago
RE
Staff Engineer Physical AI Systems
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking a Staff Engineer (Physical AI - System Engineering) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will develop and validate…
Added 4 days ago
AI
Lead Middleware Platform Engineer
Aptino, Inc.
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Strong experience with automation and scripting (Shell/Python).
Added 4 days ago
RE
Principal Engineer Physical AI Systems Modeling
Renesas Electronics
Ottawa, ON
- Full-time
We are seeking a Principal Engineer (Physical AI - System Modeling) to join the Pathfinding Studio within the Engineering Innovation Office. As a technical thought leader and principal…
Added 4 days ago
Senior AI/ML & Robotics Platform Developer
Siemens
Kitchener, ON
We are seeking a Senior AI/ML & Robotics Platform Engineer to help define the data, metadata, validation, and evaluation backbone for a Physical AI platform in Canada. This role will be…
Added 4 days ago
Backend Engineer – Workflow Execution and Orchestration, Kitchener, ON
Siemens
Kitchener, ON
About the role: Backend Engineer for Workflow Execution and Orchestration
Added 4 days ago
OI
Forward Deployment Engineer (FDE)
Optimus Information
Vancouver, BC
- Full-time
We are seeking a hands-on Forward Deployment Engineer (FDE) to work directly with clients to turn business challenges into practical cloud, data, and AI solutions. You will bridge client…
Added 4 days ago
A
Software Engineer (Python + DevOps)
Apptad
Montreal, QC
- Contract
Job Title: Senior Software Engineer (Python + DevOps)
Added 4 days ago
EL
Security DevOps Engineer
EnStream LP
Toronto, ON
- Full-time
EnStream is seeking a Security DevOps Engineer to join our team as a full-time, hands-on engineer who splits their time evenly between cloud security and DevOps. Working alongside our…
Added 4 days ago
ZH
Applied AI Research Scientist
Zepp Health
Vancouver, BC
- Full-time
As an AI and deep learning Engineer specializing in time-series analysis and signal processing at Zepp Health, you will be responsible for creating and implementing advanced machine…
Added 4 days ago
Advanced DevOps Engineer - EA Sports Tech
Electronic Arts
Vancouver, BC
The EA SPORTS™ Technical Team is seeking an experienced DevOps Engineer to join the organization. This role is ideal for someone with a strong passion for technology and deep experience…
Added 4 days ago
F
Senior Full Stack Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.
Added 4 days ago
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Artificial Intelligence Engineer
Hays
Toronto, ON
- Contract
We are seeking a Senior AI Engineer with 10+ years of experience to build and deploy production-grade AI solutions.
Added 4 days ago
AI
AI Security Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Contract
Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a contract role for one of our premier client in Canada for AI Security Engineer.
Added 4 days ago
SA
Machine Learning Engineer
Sanctuary AI
Vancouver, BC
- Full-time
Strong programming proficiency in Python and C++.

Renesas Electronics

Principal Engineer Physical AI Systems Modeling

Ottawa, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 5, 2027
Experience: · Extensive relevant research and engineering experience, including 8 years of related experience with a Ph.D.
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Description

We are seeking a Principal Engineer (Physical AI - System Modeling) to join the Pathfinding Studio within the Engineering Innovation Office. As a technical thought leader and principal contributor, you will define and lead research in foundation model training and fine-tuning, vision-language-action models, reinforcement learning, and generative models. You will lead multidisciplinary work spanning virtual system modeling, data curation, learning, perception, planning, control, and translation of research into hardware implementations. With broad latitude to define objectives and technical approaches, you will solve critical problems under uncertainty, guide long-term technology and intellectual property initiatives and deliver outcomes that influence multiple functions and future products.

Responsibilities:

· Define the long-term Physical AI research direction and system architecture for humanoid and industrial robotics to guide next generation technology and product strategy.

· Identify emerging methods and lead foundation model training and fine-tuning, VLA development, reinforcement learning, and generative modeling, connecting perception, planning, control, and manipulation in end-to-end robotic systems.

· Architect, develop, and maintain virtual system world models including articulated hands and arms, sensors, robot dynamics, contact interactions, and environments.

· Own the technical architecture of Physical AI data curation pipelines, spanning simulation, synthetic data generation, real-world collection and teleoperation, multimodal synchronization, schemas, quality checks, dataset versioning, and reproducible training and evaluation.

· Lead imitation-learning, reinforcement-learning, domain-randomization, sim-to-real, and real-to-sim workflows; establish evaluation criteria, analyze failure modes, and resolve complex model and controller issues with limited information.

· Translate research into hardware implementations through algorithm–hardware co-design.

· Define and evaluate system-level performance and resource trade-offs to guide deployment decisions and long-term technical priorities.

· Mentor engineers and researchers across domains.

Qualifications

· Extensive relevant research and engineering experience, including 8 years of related experience with a Ph.D.

· Strong expertise in foundation model training and fine-tuning, vision-language-action models (VLAs), reinforcement learning, and generative and world models targeting Physical AI systems such as humanoids and industrial robotics.

· Strong background in mathematics, physics, and software engineering, with the ability to apply rigorous modeling, analysis, and engineering methods to complex robotic systems.

· Knowledge in Neuromorphic and in-memory computing and modeling will be considered an advantage.

· Knowledge with foundation model development and finetuning for specification to hardware generation (e.g., schematics, RTL) will be considered an advantage.

· Hands-on experience with NVIDIA Isaac Sim, MuJoCo, and similar physics-based simulation and virtual system modeling platforms.

· Deep expertise in robotics algorithms and system modeling, including kinematics, dynamics, perception, planning, control, grasping, manipulation, trajectory generation, and contact-rich interaction.

· Experience designing and implementing Physical AI data curation pipelines, including simulation and real-world data collection, teleoperation, synthetic data, multimodal data quality, and sim-to-real and real-to-sim workflows.

· Prior experience translating research into hardware implementations, including algorithm–hardware co-design and validation against system-level requirements.

· Experience in digital ASIC design and verification and in collaborating across research, system architecture, RTL design, and verification disciplines.

· Strong software development experience in Python and C/C++ using CPU- and GPU-based environments, version control, testing, and reproducible experimentation.

· Publications in reputed conference and journals related to robotics

· Demonstrated technical thought leadership and recognized expertise within the function and relevant external communities; ability to serve as a principal advisor, influence long-term technical strategy, and resolve critical multidisciplinary problems independently.

Education:

Ph.D. in Robotics, Engineering Science, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering, Applied Mathematics, Physics, or a closely related field is the minimum educational requirement.

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Export Control Compliance Condition

Renesas Canada must at all times comply with U.S. and Canadian export control legislative requirements. Current U.S. export control laws require that Renesas Canada obtain a U.S. government export license prior to employing persons in positions with access to certain technology. All positions at Renesas Canada have direct or indirect access to this technology. As a result, it is necessary for Renesas Canada to determine if it would need an export license for new employees. To do so, we ask all candidates for employment whether their most recent country of citizenship or permanent residence is one of the countries specified in the export controls laws or regulations.

Renesas recognizes that you are entitled to human rights and privacy protections in the workplace and takes these obligations seriously. As such, we want you to know that your decision to complete the export control questions is entirely voluntary. Regrettably, should you choose not to complete these questions, we cannot consider you for employment because doing so would jeopardize our ability to comply with the applicable export controls laws. Should you choose to complete the questions, we will use the information collected only to determine if we would need an export license to employ you and not for any other purpose.

Successful candidates must be eligible to meet the requirements of U.S. export control regulations, including (if applicable) the issuance of any required export license prior to starting employment at Renesas Canada. The decision whether to or not to file or pursue an export license application is at the sole discretion of Renesas Canada.

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More about this job

Responsibilities

Set the long-term Physical AI research direction and system architecture for humanoid and industrial robotics, leading work in foundation models, VLA systems, reinforcement learning, simulation, and robotics data pipelines. Translate research into hardware through algorithm–hardware co-design, guide system-level performance and deployment decisions, and mentor multidisciplinary engineers and researchers.

Requirements

Requires a Ph.D. in a relevant field and extensive related experience, including eight years with a Ph.D., alongside deep expertise in Physical AI, robotics algorithms, system modeling, and simulation platforms such as NVIDIA Isaac Sim and MuJoCo. Candidates should also bring experience with data pipelines, sim-to-real workflows, hardware implementation and ASIC design, strong Python and C/C++ skills, relevant publications, and recognized technical leadership.

Skills

Foundation Model Training and Fine-Tuning
Vision-Language-Action Models
Reinforcement Learning
Generative and World Models
Robotics System Modeling
Kinematics and Dynamics
Perception, Planning, and Control
Grasping and Manipulation
Physics-Based Simulation
Physical AI Data Curation
Sim-to-Real and Real-to-Sim
Algorithm–Hardware Co-Design
Digital ASIC Design and Verification
Python
C/C++
Technical Leadership and Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Humanoid Robotics
Industrial Robotics
Foundation Models
Vision-Language-Action Models
Reinforcement Learning
Generative Models
World Models
NVIDIA Isaac Sim
MuJoCo
Virtual System Modeling
Robot Dynamics
Contact Interactions
Synthetic Data Generation
Teleoperation
Multimodal Data
Imitation Learning
Domain Randomization
Sim-to-Real
Real-to-Sim
Algorithm–Hardware Co-Design
Digital ASIC Design
ASIC Verification
RTL Design
Neuromorphic Computing
In-Memory Computing
Python
C/C++
GPU Computing
Reproducible Experimentation

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Jobs in Canada