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Remote Robotic Simulation Engineer Jobs in Toronto, ON

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 ... Bonus: - Experience in self-driving, traffic simulation, or a related field. - Proven ability to ...

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 ...

... 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 ...

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

The AI Engineer plays a critical role in making modeling and simulation accessible to non-data ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

We build simulation and data-driven modeling tools that let leaders visualize how strategies will ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... simulation. Model distillation. - Collaborate with engineers to integrate models into large-scale ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Sales Engineer

Toronto, ON · Remote

$139K - $231K/yr

... simulate cloud environments, enabling AI agents and software developers to find and fix risks ... and remote team members from 25 countries including 🇺🇸the US, 🇫🇷FR, 🇬🇧UK ...

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... You have used Selenium, Robot Framework or similar frameworks * You have done electronic design and ...

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... loop simulator, Waabi World. You will... - Design and execute on a research agenda for deep ... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ...

We build simulation and data-driven modeling tools that let leaders visualize how strategies will ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

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Remote Robotic Simulation Engineer information

How does a remote robotic simulation engineer typically collaborate with cross-functional teams during project development?

As a Remote Robotic Simulation Engineer, you will work closely with mechanical, electrical, and software engineering teams to ensure accurate virtual representations of robotic systems. Collaboration often involves regular video meetings, shared simulation files, and joint troubleshooting sessions to validate robotic behaviors before deployment. Clear communication skills and familiarity with collaborative platforms are essential, as feedback and updates are exchanged frequently to meet project milestones. This remote structure allows for flexible work arrangements but also demands proactive engagement to stay aligned with team goals.

What is a remote robotic simulation engineer?

A Remote Robotic Simulation Engineer is a professional who designs, develops, and tests virtual models of robotic systems using simulation software, often while working from a remote location. Their work helps predict and improve the performance of robots before they are physically built, reducing costs and development time. These engineers collaborate with multidisciplinary teams to refine robot behaviors in simulated environments and may also troubleshoot or optimize robot algorithms. The role often requires strong skills in robotics, computer programming, and simulation tools like ROS, Gazebo, or MATLAB. Working remotely, they leverage digital communication tools to stay connected with their teams and projects.

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

To thrive as a Remote Robotic Simulation Engineer, you need a solid background in robotics, computer science, and engineering, often supported by a bachelor’s or master’s degree in a related field. Proficiency with simulation software such as Gazebo or ROS, familiarity with programming languages like Python or C++, and experience with 3D modeling tools are typically required. Strong problem-solving abilities, communication skills, and self-motivation are crucial for excelling in remote and collaborative environments. These skills ensure precise development, effective troubleshooting, and successful integration of robotic systems in virtual settings.

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

AspectRemote Robotic Simulation EngineerRemote Robotics Software Developer
CredentialsBachelor's or higher in Robotics, Mechanical, or Electrical Engineering; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related field; programming skills
Work EnvironmentPrimarily uses simulation platforms like Gazebo, V-REP; collaborates with engineers and researchersFocuses on developing robotics software, algorithms, and control systems; often involves coding and testing
Industry UsageCommon in research, testing, and validation of robotic systemsUsed in software development for robotics applications, automation, and product deployment

The main difference is that Remote Robotic Simulation Engineers focus on creating and testing virtual models of robots using simulation tools, while Remote Robotics Software Developers primarily write and optimize software for robotic systems. Both roles require programming skills and industry knowledge but serve different stages of robotic 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 Remote Robotic Simulation Engineer jobs in Toronto, ON? For Remote Robotic Simulation Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Robotic Simulation Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Robotic Simulation Engineer jobs in Toronto, ON are:
Infographic showing various Remote Robotic Simulation Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% 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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