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Added 11 hours ago
OI
Senior Software Engineer
Odaia Intelligence Inc.
Toronto, ON
- Full-time
We’re looking for a Senior Software Engineer to join our engineering team. You’ll design, build, and ship the products and services that shape how pharma commercial teams engage with…
Added 11 hours ago
A
Undergraduate Co-op Student – Software Engineer – Large Molecule Discovery - Technology
Amgen
Burnaby, BC · Canada - Burnaby
- Full-time
Strong programming skills or coursework in languages such as Python, Java, Javascript, or C#.
Added 11 hours ago
B
Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hybrid (minimum 2 days per week in office)
Added 11 hours ago
XG
DevSecOps Engineer , Mississauga, ON
Xforia Global Talent & Technology Solutions
Mississauga, ON
- Contract
Skills: Distributed Systems development, Java, C/C++, Python, JavaScript (Node.js), Linux, CI/CD, GitHub, AI assisted development workflows.
Added 12 hours ago
B
Principal Architect, AI Platform
BMO
Toronto, ON
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 12 hours ago
CG
System Test Engineer
Calian Group
Montreal, QC
- Full-time
System Test Engineer / Ingénieur(e) en tests système
Added 12 hours ago
AC
Ingénieur·e en fiabilité des sites / Site Reliability Engineer
ALTEN Canada
Montreal, QC
- Full-time
Maîtrise d’au moins un langage de script (Python, Bash/Shell)
Added 12 hours ago
P
Associate Software Developer
Priceline
Toronto, ON
- Full-time
…the best deals for our customers. As an Associate Software Developer on the Itinerary Generation team in Flights, you’ll build and ship the services behind that, as part of a stable,…
Added 13 hours ago
RE
Principal Engineer Physical AI Systems Modeling
Renesas Electronics
Ottawa, ON
- Full-time
Job Description: We are seeking a Principal Engineer (Physical AI - System Modeling) to join the Pathfinding Studio within the Engineering Innovation Office. As a principal contributor, you…
Added 13 hours ago
RE
Staff Engineer Physical AI Systems
Renesas Electronics
Ottawa, ON
- Full-time
Job Description: 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…
Added 13 hours ago
Marketing Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 13 hours ago
P
Associate Software Developer
Priceline
Toronto, ON
- Full-time
…the best deals for our customers. As an Associate Software Developer on the Itinerary Generation team in Flights, you’ll build and ship the services behind that, as part of a stable,…
Added 13 hours ago
ST
Lead Data Engineer
Soroc Technology
Calgary, AB
- $50 to $53 CAD / hour
- Contract
Work Model: Hybrid (3 days per week in office: Monday, Tuesday, Thursday)
Added 13 hours ago
VT
Hardware Test Engineer
VANJOBS Technical Recruiters
Vancouver, BC
- Full-time
A full-time, onsite role, you must live within reasonable commuting distance to the Richmond office
Added 13 hours ago
Analog Design, Staff Engineer
Synopsys
Ottawa, ON
Experience with TCL, Perl, C, Python, MATLAB, or other scripting languages is desired.
Added 13 hours ago
GM
Senior Computer Vision Engineer
Gazer Monitoring Inc
Mississauga, ON
- Full-time
Gazer Monitoring is hiring an experienced Computer Vision / Edge AI Engineer to develop and optimize GazerEdge, our edge device for video analytics and remote monitoring.
Added 14 hours ago
Solution Architect
PCL Construction
Edmonton, AB
SQL, Python and PySpark or Spark for scalable data processing
Added 14 hours ago
O
Staff Product Security Engineer, Reviews
Okta
Toronto, ON
- $141,000 to $193,000 CAD / year
- Full-time
The Staff Product Security Engineer Opportunity
Added 14 hours ago
A
DevOps Engineer (local to Quebec only)
Apptad
Montreal, QC
- Full-time
Job Title: DevOps Engineer (local to Quebec only)
Added 14 hours ago
V
Generative AI Engineer
VySystems
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 14 hours ago
PC
Principal Software Engineer
Priority Commerce
Waterloo, ON
- $191,000 to $249,000 CAD / year
- Full-time
Job title: Principal Software Engineer - Innovation Studio
Added 14 hours ago
RE
Staff Engineer Physical AI Systems
Renesas Electronics
Ottawa, ON
- Full-time
Job Description: 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…
Added 14 hours ago
RE
Principal Engineer Physical AI Systems Modeling
Renesas Electronics
Ottawa, ON
- Full-time
Job Description: We are seeking a Principal Engineer (Physical AI - System Modeling) to join the Pathfinding Studio within the Engineering Innovation Office. As a principal contributor, you…
Added 15 hours ago
PC
Sr. Software Engineer
Priority Commerce
Waterloo, ON
- $115,000 to $142,000 CAD / year
- Full-time
Who you’ll work with: 10 engineers across backend and full-stack, 4 QA engineers, an Architect and a Principal Engineer who together own the domain’s architecture, a product lead, 3 product…
Added 15 hours ago
TT
Software Architect
Trane Technologies
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…

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: Dec 10, 2026
Experience: · Extensive relevant research and engineering experience, including 8 years of related experience with a Ph.D.
Posting language: English
Posted: Nov 10, 2026

Original job description

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 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.

Education:

A Ph.D. in Robotics, Engineering Science, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering or a closely related field.

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

Define the long-term research direction and system architecture for Physical AI in humanoid and industrial robotics, leading work on foundation models, simulation, data pipelines, learning, perception, planning, and control. Translate research into hardware through algorithm-hardware co-design, set system-level performance priorities, and mentor engineers and researchers.

Requirements

Requires a Ph.D. in a relevant robotics, engineering, or computing field and extensive related experience, including eight years with a Ph.D. Candidates should bring deep expertise in Physical AI, robotics algorithms and simulation, data curation, hardware implementation, ASIC design and verification, and Python and C/C++ development; robotics publications and experience with NVIDIA Isaac Sim or MuJoCo are also specified.

Skills

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

Visa sponsorship

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Keywords

Physical AI
Foundation Models
Vision-Language-Action Models
Reinforcement Learning
Generative Models
World Models
Humanoid Robotics
Industrial Robotics
NVIDIA Isaac Sim
MuJoCo
Physics-Based Simulation
Virtual System Modeling
Robot Dynamics
Kinematics
Perception
Planning
Control
Grasping
Manipulation
Trajectory Generation
Contact-Rich Interaction
Data Curation
Synthetic Data
Teleoperation
Sim-to-Real
Domain Randomization
Algorithm-Hardware Co-Design
Digital ASIC Design
RTL Design and Verification
Python and C/C++

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Jobs in Canada