Jobs in Canada

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Added 3 hours 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 3 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 4 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 4 hours ago
TT
Software Architect
Trane Technologies
Montreal, QC
- Full-time
…BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether…
Added 4 hours ago
TC
Senior Quality Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 4 hours ago
D
Sr Automation Engineer
DIRTT
Calgary, AB
- Full-time
Scripting & Data Handling: High proficiency in relevant scripting languages (e.g., Python, C#) with strong capabilities in handling large structured datasets (e.g., comprehensive BOM CSV…
Added 4 hours ago
DT
GenAI Engineer (Full Stack or Backend Engineers )
DXC Technology
Canada
- Full-time
We are looking for an experienced GenAI Engineer to design and develop scalable, production-grade AI applications and APIs. The role requires strong hands-on expertise in FastAPI, FastMCP,…
Added 5 hours ago
AR
Machine Learning Engineer, Apple Store Online
Apple Retail Shop
Cambridge, ON
- Full-time
…passionate, highly motivated, and hands-on applied Machine Learning Engineer. You will lead the way on our Online Retail Decision Automation team by researching and developing the next…
Added 5 hours ago
AR
Senior Machine Learning Engineer
Apple Retail Shop
Cambridge, ON
- Full-time
…highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next…
Added 7 hours ago
C
Senior Full Stack Software Engineer
CanadaVisa
Remote, Canada
- Full-time
- Remote
Our principal stack is Node.js, TypeScript, React/Next.js, and PostgreSQL on Google Cloud, with Python/FastAPI for specialist AI and document-processing services. Parts of our publishing…
Added 8 hours ago
HP
Lead Data Engineer
Hartree Partners
Toronto, ON
- Full-time
…is an opportunity to combine hands-on engineering leadership with AWS architecture and the practical application of AI and agentic technologies. You will help turn complex financial and…
Added 9 hours ago
Q
CAD Engineer – AMS & Custom Layout
Qualcomm
Toronto, ON
- Full-time
We're looking for a CAD engineer with a custom layout background to set up and support the CAD flows, EDA tools and foundry PDKs our design teams rely on, with a focus on…
Added 9 hours ago
C
Senior Software Engineer - Integrations - AI/ML
ClickHouse
Remote, Canada
- $147,000 to $238,000 USD / year
- Full-time
- Remote
Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
Added 10 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Must have development experiences in Azure Integration Services (Logic Apps,
Added 11 hours ago
B
SoC Verification Engineer
Blumind
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking an experienced SoC Verification Engineer to join our Silicon Engineering team and own the functional verification of our next-generation AI SoCs. Our chips pair digital…
Added 11 hours ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Added 11 hours ago
C
Staff FPGA Engineer
Cognichip
Toronto, ON
- $184,000 to $222,000 CAD / year
- Full-time
…silicon design and machine learning. As a Staff FPGA Design Engineer, you will fuse chip design expertise with cutting-edge ML to create the intelligent, end-to-end silicon design flows. If…
Added 11 hours ago
I
Cluster Site Reliability Engineer
iFrame
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Stack LinuxInfiniBand (NDR / XDR)NCCL / RCCLKubernetes (host-level)TerraformPrometheus / GrafanaGo or Python
Added 11 hours ago
BH
Tech Lead - ToolHound
Beacon Holdings
Canada
- Full-time
…established platform, and the mandate is to reimagine what it does with AI at the center, and you're the technical leader who owns that from the…
Added 13 hours ago
A
Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
Proficiency with Python for scripting and programming in test environments.
Added 13 hours ago
R&D Engineering, Engineer
Synopsys
Vancouver, BC
Experience with Python is a plus and will help you contribute to automation and scripting tasks on the team
Added 13 hours ago
A
FPGA Design Engineer
Actalent
Ottawa, ON
- $65 to $85 CAD / hour
- Full-time
You will work with Xilinx devices, SystemVerilog, and Cadence simulation tools to implement, verify, and refine FPGA logic, combining reuse of existing modules with targeted development…
Added 15 hours ago
AM
Standard Cell Design & Characterization Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are seeking an experienced Standard Cell Design & Characterization Engineer to join our department, which is responsible for developing standard cell libraries, supporting third-party…
Added 15 hours ago
BR
Perception Engineer
BHF Robotics
Markham, ON
- Full-time
Proficiency in C++, Python, or other relevant programming languages, with solid skills in object-oriented software development.
Added 16 hours ago
QT
Building Science Lead
QEA Tech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…loss through infrared imaging replaces generic assumptions with precise, measured data: actual R-values, quantified energy loss, and data-driven retrofit plans with exact payback…

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