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Full Time Robotic Simulation Engineer Jobs in Toronto, ON

Magna

Technician, Robotics

Brampton, ON

CA$37 - CA$46/hr

... of robotic coordinate systems. * Some exposure to Offline Simulation * Working knowledge of communication protocols (Enet IP) * Good understanding of robot program flow and programming theories

Magna

Advanced Manufacturing Engineer

Brampton, ON

CA$70 - CA$80/hr

Through our robust product engineering, outstanding tooling capabilities and diverse process ... Robotic Simulation software - Visual components / Process Simulate / Delmia Essential Duties ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Waabi

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

Generative scenario modeling and controllable simulation * Model distillation - Collaborate closely ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

Parker

Mobile Controls Engineer

Milton, ON · On-site

Analyze, code, simulate, test, maintain, and document IQAN programs. * Collaborate with the field ... Understanding of robotics, automation, sensors, engines, and hydraulic controls preferred. * CAD: ...

Magna

Robotics Application

Guelph, ON · On-site

CA$100K - CA$130K/yr

... ABB robotic paint systems. * Maintain and develop the architecture of advanced programming to ... Calibrate and maintain ABB Robot Studio simulation environment. * Focus on CI for material and ...

Waabi

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... simulation engineers to integrate models into large-scale, distributed training and rendering ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Waabi

Senior / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/yr

... data and simulations, to improve the accuracy, robustness, and safety of our self-driving ... robotics. - Experience in working with platform teams and collaborating with research teams to ...

Radian Robotics

Mechanical Design Engineer

Hamilton, ON · On-site

CA$80K - CA$100K/yr

Job Summary Mechanical Design Engineer Radian Robotics Full-time In-Office | Hamilton, ON, Canada The Opportunity Reporting to the Mechanical Engineering Manager, the Mechanical Design Engineer will ...

Waabi

Senior / Staff Software Engineer, Mapping

Toronto, ON · On-site +1

CA$141K - CA$242K/yr

... robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ... Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive ...

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All JobsRobotic Simulation Engineer JobsFull Time Robotic Simulation Engineer JobsFull Time Robotic Simulation Engineer Jobs in Toronto, ON

Full Time Robotic Simulation Engineer information

What are the key skills and qualifications needed to thrive as a full time robotic simulation engineer, and why are they important?

To thrive as a Full Time Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a relevant degree and experience in simulation environments. Proficiency with simulation tools such as ROS (Robot Operating System), Gazebo, MATLAB/Simulink, and programming languages like Python or C++ is typically required. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and troubleshooting issues. These skills and qualities are important to develop, test, and refine robotic systems efficiently, ensuring reliability and innovation in automation solutions.

What types of projects and collaborations can a full time robotic simulation engineer expect to be involved in?

As a Full Time Robotic Simulation Engineer, you will typically work on projects that involve creating and testing virtual models of robotic systems to optimize their performance before physical deployment. You can expect to collaborate closely with software developers, mechanical engineers, and project managers to ensure simulation accuracy and integration with real-world hardware. These projects often require iterative testing, data analysis, and troubleshooting, as well as adapting simulations to accommodate evolving project requirements. This role offers exposure to cutting-edge robotics technologies and provides opportunities to contribute to multidisciplinary teams, fostering both technical and collaborative skill growth.

What is a full time robotic simulation engineer?

A Full Time Robotic Simulation Engineer is a specialist who designs, develops, and tests virtual models of robotic systems to analyze their performance before they are physically built. They use simulation software to create digital twins of robots and their environments, allowing for thorough testing, optimization, and troubleshooting. This role is crucial in industries such as manufacturing, automotive, and logistics, where precision and efficiency are essential. By simulating robots, engineers can identify and solve potential issues, saving time and resources in the development process.

What is the difference between Full Time Robotic Simulation Engineer vs Full Time Robotics Software Developer?

AspectFull Time Robotic Simulation EngineerFull Time Robotics Software Developer
CredentialsBachelor's or Master's in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Computer Science, Software Engineering, or Robotics
Work EnvironmentDesigning and testing robotic simulations, using simulation software like Gazebo or V-REPDeveloping software algorithms, coding, and debugging robotics applications
Industry UsagePrimarily in robotics research, manufacturing, and automation companiesIn robotics, automation, and tech companies focusing on software solutions

While both roles involve robotics and software, the Full Time Robotic Simulation Engineer focuses on creating and testing virtual models of robots, whereas the Full Time Robotics Software Developer concentrates on coding and developing robotics software applications. The roles often overlap but differ mainly in their core focus: simulation versus software development.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Toronto, ON? The most popular types of Robotic Simulation Engineer jobs in Toronto, ON are:
What are popular job titles related to Full Time Robotic Simulation Engineer jobs in Toronto, ON? For Full Time Robotic Simulation Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Full Time Robotic Simulation Engineer jobs in Toronto, ON look for? The top searched job categories for Full Time Robotic Simulation Engineer jobs in Toronto, ON are:
Full Time Robotic Simulation Engineer jobs near you
Infographic showing various Full Time Robotic Simulation Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution.

Senior / Staff Research Engineer, Simulation Assets & Content Systems

Waabi

Toronto, ON • On-site, Remote

CA$155K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...

  • Be part of a multidisciplinary team of Research Scientists and Engineers building the content backbone of a best-in-class multi-sensor simulation stack.

  • Architect and own asset pipelines end-to-end: From raw sensor logs all the way into simulation-ready representations (e.g., 3DGS, NeRF, mesh, hybrid), validation, packaging, and serving into Waabi World.

  • Design schemas, formats, and storage for a heterogeneous asset library spanning traditional mesh/material assets, neural representations, and generative-model outputs. Ownership of design decisions ranging from formats and compression, to streaming, and cross-renderer interop.

  • Build tooling and visualization that lets research scientists, simulation engineers, and technical artists inspect, compare, debug, and curate assets at the scale of tens of thousands of items - including search, similarity, lineage, and regression review.

  • Integrate cutting-edge research into the pipeline - collaborate with the neural rendering and generative AI teams to productionize the latest reconstruction, diffusion, and world-model techniques as first-class steps in the asset lifecycle.

  • Collaborate with autonomy and safety teams to ensure the asset catalog meets the diversity, realism, and coverage demands of training and closed-loop evaluation.

Qualifications:

  • Shipping Production Software. You have experience reading and developing production-quality software at scale, not just prototypes. You have shipped systems that other engineers and researchers depend on day-to-day.

  • 3D Content Pipelines. You have built or extended large-scale 3D content pipelines - ingestion, processing, validation, versioning, and serving: for graphics, simulation, VFX, games, robotics, or AV. You understand the failure modes that emerge at tens of thousands of assets.

  • Modern 3D Representations. You are fluent across at least several of: traditional mesh/material/PBR, OpenUSD, NeRF, 3D Gaussian Splatting, and procedural/generative content. You understand the trade-offs between paradigms - fidelity, edit-ability, runtime cost, storage, interop, and can make pragmatic choices.

  • Cloud Infrastructure at Scale. Experience designing, launching, and debugging GPU jobs in the cloud (AWS, GCP, or equivalent), including job orchestration, cost modeling, and throughput optimization for batch and pipeline workloads.

  • Strong software engineering fundamentals. You write efficient and maintainable code in Python, as well as in at least one native systems language such as C++ or Rust

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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