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Added 2 mins ago
M
Cloud Solution Architect - AI Apps
Microsoft
Vancouver, BC
- Full-time
…obstacles and adoption challenges. You will work with customers to lead deep technical architecture discussions and engage with senior customer executives, enterprise architects, platform…
Added 33 mins ago
AC
Warehouse Technician (General)
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Calgary, AB
- Full-time
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Added 48 mins ago
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Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed Financial Services is looking for a Software Development Manager in North America to grow and lead our technical team within the Financial Services organization.
Added 1 hour ago
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Software Architect: AEC Platform Data
Autodesk
Quebec, QC
- Full-time
Fiabilité et performance : Assurer la fiabilité, la sécurité et la performance des systèmes; définir les SLO et favoriser l’observabilité (métriques, traçage, journalisation)
Added 1 hour ago
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Software Architect: AEC Platform Data
Autodesk
Montreal, QC
- Full-time
Fiabilité et performance : Assurer la fiabilité, la sécurité et la performance des systèmes; définir les SLO et favoriser l’observabilité (métriques, traçage, journalisation)
Added 1 hour ago
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Software Architect: AEC Platform Data
Autodesk
Toronto, ON
- Full-time
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The main purpose of PERI’s Engineering Lead (ENGL) position is to support the structural analysis and design of formwork, shoring, and scaffolding solutions across a wide range of projects.…
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- Full-time
…future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all…
Added 2 hours ago
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Environmental Health Safety Specialist
Bray International, Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
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Outside Sales Representative – North/Central Alberta
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AB · Edmonton, AB
- Full-time
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Added 2 hours ago
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Technical Inside Sales Manager
Bray International, Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Conduct performance reviews (annual reviews, KPIs, SQDC)
Added 3 hours ago
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HES Specialist – Canada (East Region)
Parkland Corporation
Montreal, QC
- Full-time
…gestion efficace des incidents et l’amélioration continue de la performance en matière de sécurité. Une présence régulière sur le terrain est…
Added 3 hours ago
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HES Specialist – Canada (East Region)
Parkland Corporation
Montreal, QC
- Full-time
…gestion efficace des incidents et l’amélioration continue de la performance en matière de sécurité. Une présence régulière sur le terrain est…
Added 4 hours ago
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Program Manager, Capital Projects – Minor
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AB · Edmonton, AB
- Temporary
…Reporting to the Corporate Director, Capital Management, you will lead a team of project professionals and be accountable for portfolio performance, project governance, resource planning,…
Added 4 hours ago
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Senior Process Engineer - Wastewater Treatment
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Guelph, ON
- Full-time
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Added 4 hours ago
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Senior Process Engineer - Wastewater Treatment
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Kitchener, ON
- Full-time
As a Senior Process Engineer – Wastewater Treatment, you will lead the planning, evaluation, design, commissioning, and optimization of municipal treatment facilities. You will combine…
Added 4 hours ago
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HES Specialist – Canada (East Region)
Parkland Corporation
Quebec, QC
- Full-time
…gestion efficace des incidents et l’amélioration continue de la performance en matière de sécurité. Une présence régulière sur le terrain est…
Added 5 hours ago
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Calgary, AB
…rugged durability, operational versatility, and excellence in…
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Full Stack Technical Lead (Angular/Java)
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Toronto, ON
- $72,000 to $126,000 CAD / year
- Full-time
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Added 5 hours ago
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Underground Operations Engineer- Travel & Camp Available
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…Columbia, Canada. In addition, Coeur owns the Silvertip silver-zinc-lead exploration project in British…
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Senior Ventilation Technician
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- Full-time
…responsible for maintaining ventilation models, monitoring system performance, and ensuring compliance with all applicable regulatory and operational requirements. The incumbent plays a key…
Added 6 hours ago
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Repair Technician 2
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Georgina, ON · Ontario Service Hub
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Are you ready to lead the way in shaping an empowering work environment with a global leader in power tools, accessories and hand tools? At TTI, we are known for our innovative products,…
Added 7 hours ago
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Superintendent of Utilities, Parks, and Facilities (Exempt; Permanent, Full-time)
Regional District of Fraser-Fort George
Prince George, BC
- Full-time
…Superintendent has supervisory responsibility and monitors the performance of assigned employees and contractors, is accountable for the safe and efficient use of Regional District…
Added 7 hours ago
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Security & Technology Services Manager
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- Full-time
Lead and manage Security & Integration Support Technicians.
Added 7 hours ago
NA
Experienced Security Systems Integration Technician
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Concord, ON
- $85,000 to $100,000 CAD / year
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Salary: $85,000–$100,000 + Benefits + Annual Performance Bonus

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: 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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