Jobs in Canada

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Added 1 day ago
CS
BI Developer & Data Engineer
Cynet Systems
Montreal, QC
- $40 to $45 CAD / hour
- Contract
We are seeking an experienced BI Developer & Data Engineer Contractor to design and implement scalable analytics solutions supporting the organization s manufacturing, engineering, and…
Added 1 day ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
As the senior-most individual contributor on the Forward Deployed Engineering (FDE) team, you will define and drive the technology strategy and roadmap for designing, building, and…
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Regina, SK
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Maintain technical documentation and follow data engineering best practices.
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Mississauga, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
JG
Senior Data Engineer
J&M Group
Toronto, ON
- Full-time
Strong Python programming and software engineering practices, including testing, code quality, and Git-based development workflows.
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Moncton, NB
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Laval, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Montreal, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Guelph, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Toronto, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
VE
Battery Development Scientist / Engineer
Volta Energy Inc.
Pickering, ON
- Full-time
…candidates who combine scientific knowledge with practical engineering instincts - individuals equally comfortable interpreting electrochemical data and working hands-on with laboratory…
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Calgary, AB
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
L
Senior Analyst - Retail Analytics
lululemon
Vancouver, BC
- Full-time
Work is performed onsite, minimum 4 days per week.
Added 1 day ago
GC
Data Engineer
Grand Challenges Canada
Toronto, ON
- Full-time
Technical Proficiency: 3+ years of experience in Data or Analytics Engineering. AI experience considered a bonus.
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Burlington, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
CA
Senior Data Integration Specialist
Co-operators Assurance et services financiers
Quebec, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 day ago
S
Computer Vision Solutions Leader
SoftServe
Canada
- Full-time
…environment. You will work closely with the client, internal engineering teams, and business development leaders to shape a cascading, self-improving recognition architecture and translate…
Added 1 day ago
NS
Senior Performance Test Lead / Specialist
N2P Systems
Toronto, ON · North York, ON
- $60 to $70 CAD / hour
- Contract
We are seeking a seasoned Senior Performance Testing Specialist / Lead with 8+ years of core performance engineering and load testing experience to drive the non-functional testing strategy…
Added 1 day ago
A
Test Development Engineer
Actalent
Newmarket, ON
- $40 to $60 CAD / hour
- Contract
…work. The position involves frequent manual movements such as data entry, mouse use, and calculator operation. You will have exposure to manufacturing areas and production environments,…
Added 1 day ago
RE
Staff Engineer Physical AI Systems
Renesas Electronics
Ottawa, ON
- Full-time
· Experience with simulation and real-world data collection, data quality, reproducible evaluation, and sim-to-real workflows; strong Python and C/C++ development skills in embedded, and…
Added 1 day 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 principal contributor, you will define and…
Added 1 day ago
C
Electro-Optics Hardware Designer
Ciena
Ottawa, ON
- $96,600 to $154,400 CAD / year
- Full-time
The must haves:
Added 1 day ago
Senior Data Scientist, Customer Value Forecasting
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 1 day ago
Software Dev Engineer
Amazon
Toronto, ON
- Write clean, maintainable code (C, C++, Python, or Rust) following best practices for systems-level and performance-critical development

Renesas Electronics

Principal Engineer Physical AI Systems Modeling

Ottawa, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 11, 2026
Experience: · Extensive relevant research and engineering experience, including 8 years of related experience with a Ph.D.
Posting language: English
Posted: Nov 11, 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 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 Physical AI research direction and system architecture for humanoid and industrial robotics, leading work in foundation models, VLA systems, reinforcement learning, simulation, and data pipelines. Guide research-to-hardware implementation, system-level performance decisions, evaluation and troubleshooting, and mentor engineers and researchers across disciplines.

Requirements

Requires a Ph.D. in a relevant field and extensive related experience, including eight years with a Ph.D., plus deep expertise in Physical AI, robotics algorithms, system modeling, simulation, and data curation. Candidates should have experience translating research into hardware, digital ASIC design and verification, and strong Python and C/C++ development skills; robotics publications are also required.

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 Workflows
Algorithm-Hardware Co-Design
Digital ASIC Design and Verification
Python
C/C++
NVIDIA Isaac Sim and MuJoCo

Benefits

Competitive Benefits Package

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
System Architecture
Virtual System Modeling
NVIDIA Isaac Sim
MuJoCo
Robot Dynamics
Kinematics
Perception
Planning
Control
Grasping and Manipulation
Teleoperation
Synthetic Data
Multimodal Data
Sim-to-Real
Real-to-Sim
Domain Randomization
Algorithm-Hardware Co-Design
Digital ASIC Design
RTL Design and Verification
Python
C/C++
Neuromorphic Computing

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Jobs in Canada