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Added 1 day ago
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Senior Photonic Engineer – Experimentalist
Xanadu
Toronto, ON
- Full-time
We are seeking a Senior Photonic Engineer – Experimentalist to participate in designing, developing and experimentally validating cutting-edge photonic systems. Your primary focus will be…
Added 1 day ago
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Manufacturing System Engineer
Trioworld
Ajax, ON
- $95,000 to $130,000 CAD / year
- Full-time
…solution-oriented, and capable of balancing technical excellence with practical business needs. Candidates will be evaluated based on their experience as an automation engineer in…
Added 1 day ago
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Process Automation Software Engineer - MEMS
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Added 1 day ago
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Ingénieur(e) sénior SDET / Senior Software Development Engineer in Test
Side
Remote, Canada
- Contract
- Remote
Expérience avec Python, particulièrement dans le cadre d’initiatives d’intelligence artificielle et d’automatisation.
Added 1 day ago
CAD Software Engineer, Principal-18736
Synopsys
Ottawa, ON
You are a seasoned Software Architect or ASIC design engineer with a strong affinity for design automation and a deep understanding of the complexities involved in advanced semiconductor…
Added 1 day ago
SC
AI Engineer
Smart Circle International
Richmond Hill, ON
- $85,000 to $100,000 CAD / year
- Full-time
…$100000.00Salary/year, Job Category: Information Technology, The AI Engineer will support the design, building, and maintaining of AI-powered solutions across the organization, including AI…
Added 1 day ago
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Production Support
Virtusa
Toronto, ON
- Full-time
Job Summary: We are looking for a proactive IT Production Support Engineer with strong experience in Cloud technologies (AWS) to manage, monitor, and support our critical business…
Added 1 day ago
GW
AI and Data Engineer
George Weston Limited
Toronto, ON
- Full-time
Data modelling skills with working knowledge in programming languages such as Python, R, JavaScript, and C++
Added 1 day ago
RD
Senior MLOps & Cloud Engineer (AWS / SageMaker)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This Senior MLOps & Cloud Engineer position exists to bridge machine learning model deployment, data transformation pipelines, and AWS cloud infrastructure. In this hands-on role, you will…
Added 1 day ago
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Junior Electro-Optical Validation Engineer
Inpho
Ottawa, ON · Kanata, ON
- $70,000 to $95,000 CAD / year
- Full-time
We are seeking a Junior Electro-Optical Validation Engineer to join our validation team and support the testing and characterization of Inpho’s next-generation InP-based electro-optical…
Added 1 day ago
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Machine Learning Engineer
Bevertec
Toronto, ON
- Contract
Strong Python and Machine Learning Engineering skills, with demonstrated experience taking ML models from experimentation into reliable production environments.
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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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Site Reliability Engineer | Release Management & Automation Specialist
FDM Group
Toronto, ON
- Contract
FDM is seeking a Site Reliability Engineer located in Toronto to support a project in the Insurance sector. Involvement in this project is anticipated to last initially 24 months but may be…
Added 1 day ago
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Edge Engineer
Swim Recruiting
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
Solid Python skills, including comfort with performance-sensitive, production-quality code
Added 1 day ago
RB
Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 1 day ago
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Technical Support Engineer II
Cohesity
AB · BC
- Full-time
As a Technical Support Engineer at Cohesity, you will work within our Customer Support organization, supporting and resolving data protection issues on Cloud and on-premise platforms. We…
Added 1 day ago
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Full Stack Support Engineer, Vice President
Citi
Mississauga, ON
- Full-time
As a Full Stack Support Engineer, you will take ownership of complex application issues and lead the enhancements that keep key banking systems running reliably. You will partner with…
Added 2 days ago
FI
Quality Engineer - Mainframe
FP Inc.
Toronto, ON · Scarborough, ON
- $50 to $65 CAD / hour
- Contract
Collaborate closely with other team members to develop test approach that effectively covers the functional performance characteristics of features in the applications.
Added 2 days ago
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Software Engineer - Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
The Task Platform connects people worldwide with opportunities to collect and contribute data for Physical AI. Demand across a wide range of customers and use-cases are mapped in real-time…
Added 2 days ago
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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 2 days ago
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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 2 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 2 days ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 2 days ago
AL
GenAI DevOps Engineer / AI Engineer
Accion Labs
Canada
- Contract
Agentic code generation (Claude Code SDK, Kiro CLI) with human-in-the-loop checkpoints
Added 2 days 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…

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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