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Mine Projects Technician, UG
B2Gold - Nunavut
NU · Nunavut, Canada
- Full-time
…today, B2Gold has operating gold mines in Canada, Mali, Namibia and the Philippines, and numerous development and exploration projects in various…
Added 1 day ago
SR
Workday Application Engineer
Swim Recruiting
Vancouver, BC
- Contract
Our client has made a major shift in how they deliver people solutions to their workforce and as such are looking to add multiple Workday Systems Engineers to their team. In this role…
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Manager, Process Engineering (1 Year Maternity Leave Coverage)
Ausenco
Toronto, ON
- Contract
Support resource planning, workload management, and the day-to-day operations of the Process Engineering team, ensuring project commitments and team development goals are met.
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Methods Engineer
Actalent
Fort Erie, ON
- $50 to $60 CAD / hour
- Full-time
Use CAD data and technical documentation to support accurate process development and continuous improvement of manufacturing methods.
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FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
We are looking for a FullStack Engineer as we expand our impact with new customers. This posting supports the position to start between November 2026 and February 2027.
Added 1 day ago
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Sr. Distribution Engineer
Actalent
New Westminster, BC
- $125,000 to $165,000 CAD / year
- Full-time
The Senior Distribution Engineer plays a key role in delivering electrical utility infrastructure projects within a fast-growing engineering consulting group. This full-time position is…
Added 1 day ago
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Electrical Engineering Manager
Actalent
Calgary, AB
- $88 to $110 CAD / hour
- Full-time
We are seeking an experienced Electrical Engineering Manager to lead a team of Electrical and Controls Engineers in the design, development, testing, deployment, and support of electrical…
Added 1 day ago
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Principal Electrical Engineer - High Voltage Power Systems
Fluor Corporation
Calgary, AB
- Full-time
Provides technical leadership for generation interconnections, substations, transmission systems, and high-voltage balance-of-plant infrastructure. Leads system development, power studies,…
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Senior Engineer, ARM Platform Security – RICOCHET – Central Technology
Activision Blizzard
Vancouver, BC
- Other
Innovate and Evolve: Design and implement advanced anti-cheat technologies to stay ahead of emerging threats.
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Senior Manufacturing Engineer - Consumables Manufacturing
Bio-Techne
Toronto, ON · CA - Ontario - Toronto
- Full-time
Design, develop, and implement new/improved manufacturing processes utilizing Lean Manufacturing principles and tools, including required process documentation and training.
Added 1 day ago
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Utilities Engineer (Senior) - ALTO Project / Cadence
SYSTRA Canada
Montreal, QC
- Full-time
SYSTRA Canada is part of the SYSTRA group, an international consulting and engineering group, a world leader in the design of transport infrastructures. SYSTRA Canada is an engineering and…
Added 1 day ago
SC
Utilities Engineer (Intermediate) - ALTO Project / Cadence
SYSTRA Canada
Montreal, QC
- Full-time
…reports, or municipal utility applications; Knowledge of municipal design standards and review and approval processes; Experience with existing municipal infrastructure and coordinating…
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Quality Engineer - Mainframe
FP Inc.
Toronto, ON · Scarborough, ON
- $50 to $65 CAD / hour
- Contract
Design, develop and maintain a modular, extensible, and reusable test automation framework to enable continuous testing in an agile environment.
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Development Engineer
Dragonfleye Therapeutics Corp.
Toronto, ON
- Full-time
Dragonfleye is looking to add a Development Engineer to their Ocular Device team. This is a highly hands on role and will work cross-functionally with Quality & Design, Program Management…
Added 1 day ago
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Senior Mine Engineer
Alamos Gold Inc.
Lynn Lake, MB
- Full-time
As Senior Mine Engineer, you will play a strategic role in supporting the successful development and execution of mining operations at the Lynn Lake Gold Project. Reporting to the Chief…
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Software Engineer - Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical…
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Software Engineer - Mobile Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical…
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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 1 day ago
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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…
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Data Solutions Engineer
Dexterra
Mississauga, ON
- $80,000 to $100,000 CAD / year
- Full-time
As a Data Solutions Engineer, you will design, build, and support data-centric solutions that connect business needs with technical delivery. You will work with architects, business…
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Quality Coordinator
AtkinsRéalis
Toronto, ON
- Full-time
Develop, implement, and maintain the Integrated PMS Program, including design readiness validations and review processes at key project milestones.
Added 1 day ago
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Manager, Computers and Digital Systems, Engineering Excellence
AtkinsRéalis
Mississauga, ON
- Full-time
Oversee the development, validation, maintenance, and long-term support of proprietary software tools used for engineering design, analysis, and plant operations.
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Senior AI Engineer - Oncology Biometrics
WATAR-AI
Canada
- Full-time
Design agent and multi-agent workflows end to end, including task decomposition, state and memory, tool design, routing, failure recovery, and human-in-the-loop checkpoints.
Added 1 day ago
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Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. As a key contributor to the success of AMD’s product, you will be part of a leading team to drive…
Added 1 day ago
BI
Design Engineer
Badger Infrastructure Solutions
Red Deer, AB
- Full-time
The Design Engineer is accountable for the development and design of non–destructive excavation equipment. Responsibilities will include the preparation of CAD models, FEA simulations,…

Renesas Electronics

Principal Engineer Physical AI Systems Modeling

Ottawa, ON, Canada

Full-time

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Job details

Job type: Full-time
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.

Employment Type: Regular (PERM)

Remote Work Available: No

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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. Lead multidisciplinary teams in developing foundation models, data curation pipelines, and hardware-integrated robotic control systems.

Requirements

Requires a Ph.D. in a relevant engineering or science field with at least 8 years of experience. Candidates must possess deep expertise in robotics algorithms, foundation model training, and physics-based simulation platforms.

Skills

Physical AI
Robotics
Foundation models
Reinforcement learning
System modeling
Computer vision
Control systems
Python
C++
NVIDIA Isaac Sim
MuJoCo
Data curation
Hardware-algorithm co-design
ASIC design
Kinematics
Dynamics

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Robotics
Foundation models
Reinforcement learning
System modeling
Humanoid robotics
Industrial robotics
NVIDIA Isaac Sim
MuJoCo
Data curation
Teleoperation
Sim-to-real
Domain randomization
Algorithm-hardware co-design
ASIC design
RTL design
Python
C++
Kinematics
Dynamics
Perception
Planning
Control
Neuromorphic computing
In-memory computing
Multimodal synchronization
Generative models
Vision-language-action models
Technical leadership
Research and development

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