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Contract Robotic Simulation Engineer Jobs in Toronto, ON

... 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

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

Research Scientist, Simulation Agents

Toronto, ON ยท 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 ...

Senior / Staff Graphics Software Engineer

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

To learn more visit: www.waabi.ai As a Graphics Software Engineer, you will create the next ... Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have ...

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

Research Engineer, World Models

Toronto, ON ยท 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 ...

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Contract Robotic Simulation Engineer information

What does a contract robotic simulation engineer do?

A Contract Robotic Simulation Engineer is responsible for designing, developing, and testing robotic systems using simulation software, typically on a temporary or project-based contract. They create virtual environments to model robot behavior, optimize workflows, and identify potential issues before physical implementation. This role often involves collaborating with engineers, programmers, and clients to ensure that robotic solutions meet project specifications. Contract engineers may work across various industries, such as manufacturing, automotive, or logistics, providing specialized expertise for specific projects. Their work helps reduce costs, improve efficiency, and minimize risks in robotic system deployment.

What are the key skills and qualifications needed to thrive as a contract robotic simulation engineer?

To thrive as a Contract Robotic Simulation Engineer, you need a solid background in robotics, mechanical or electrical engineering, and experience with simulation modeling, often supported by a relevant engineering degree. Proficiency with tools like ROS (Robot Operating System), MATLAB/Simulink, and simulation platforms such as Gazebo or V-REP, as well as familiarity with programming languages like Python or C++, is typically required. Strong problem-solving skills, adaptability, and effective communication make someone stand out in this role, especially when collaborating with cross-functional teams or clients. These competencies are crucial for developing accurate robotic simulations, ensuring system reliability, and meeting project goals efficiently in a contract-based environment.

What are some common challenges faced by contract robotic simulation engineers when working with diverse client requirements?

Contract Robotic Simulation Engineers often need to adapt quickly to different simulation platforms, robot models, and client-specific workflows. Each client may have unique expectations, software environments, and integration needs, requiring strong problem-solving skills and flexibility. Balancing multiple projects, ensuring accurate simulation results, and communicating technical findings effectively with both technical and non-technical stakeholders are key challenges in this role. Collaborating closely with client teams and staying updated with the latest simulation tools can help overcome these obstacles and deliver successful project outcomes.

What is the difference between Contract Robotic Simulation Engineer vs Contract Automation Test Engineer?

AspectContract Robotic Simulation EngineerContract Automation Test Engineer
CredentialsEngineering degree, robotics or simulation certificationsEngineering or computer science degree, testing certifications
Work EnvironmentRobotics labs, simulation platforms, development teamsSoftware testing environments, QA teams, development labs
Industry UsageRobotics, manufacturing, researchSoftware development, quality assurance, tech companies

The Contract Robotic Simulation Engineer focuses on developing and testing robotic systems within simulation environments, often working closely with hardware and control algorithms. In contrast, the Contract Automation Test Engineer primarily designs and executes automated tests for software applications. While both roles require technical expertise and testing skills, the Robotic Simulation Engineer emphasizes robotics and simulation tools, whereas the Automation Test Engineer concentrates on software testing automation.

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 Contract Robotic Simulation Engineer jobs in Toronto, ON?

For Contract Robotic Simulation Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Contract Robotic Simulation Engineer jobs in Toronto, ON look for?

The top searched job categories for Contract Robotic Simulation Engineer jobs in Toronto, ON are:

Lead Supply Chain Simulation Engineer

Fulfillment IQ

Toronto, ON โ€ข On-site

Full-time, Part-time

Medical, Dental, Retirement, PTO

Posted 7 days ago


Job description

Job Title: Lead Supply Chain Simulation Engineer

Primary Job Location: Toronto, ON, Canada

Location Flexibility: Hybrid, Toronto based

Employment Type (Permanent/Contract/Part-time/Intern): Permanent, Full-Time

Hiring Timeline (Hiring month): Immediate

Reporting Line: Chief Scientist

Existing Vacancy: Yes

Application Deadline: Open until filled

About Fulfillment IQ (FIQ)

Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.

We work at the intersection of strategy, supply chain, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.

Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk.

If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life.

Role Overview

Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench’s warehouse simulation engine, wherein a warehouse design is simulated and evaluated against multiple operational scenarios. Reporting directly to the Chief Scientist, you will create simulation models that capture warehouse operations dynamics, design and build the engine that executes them, and lead its integration into our main product.

This is a unique opportunity to build something from scratch, assemble a team, and have a direct influence on product features and technical roadmap. You will work closely with our Chief Scientist, domain experts, and developers to build a capability that does not exit. It is a genuine zero-to-one build, and you will own the simulation vertical as it grows.

What You'll Do

  • Translate warehouse operational processes into mathematical simulation models at various levels of granularity
  • Identify the right simulation paradigm (or combination thereof) for the problem at hand and the best tools to solve it.
  • Benchmark the performance of the simulation engine across various types of warehouse operations
  • Drive the discussion around simulation as a product by prioritizing features, establishing a technical and product roadmap, and overseeing development and integration efforts.
  • Assemble and lead the team that will help build and maintain the simulation engine
  • Lean on AI tools for execution and spend your judgment on the ambiguous parts.

The Honest Version of the Hard Parts

  • This is genuinely zero-to-one. There is no reference tool to copy and no clean spec to build from, so the hardest part is the ambiguity. You will often start without a clear definition of what to build and will have to think your way through it.
  • Your models will shape how real warehouses get designed. All models have limitations, so it is important to be honest about what they capture and what they don’t.
  • You are the lead. You carry the open questions and the vertical, not just the modeling, and you will switch context fast as the product takes shape.

Where This Goes

Think chessboard, not ladder. You will own and grow the simulation vertical, and there is real room to move into deeper research alongside the Chief Scientist and into a broader product and platform role. Tell us what you want to build and we will help you get there.

How We'll Interview You

  • Intro conversation: a short call to swap context and make sure the basics line up.
  • Conversation with the Chief Scientist: a first call on how you think.
  • Technical: a scripted, comparable working session on a real simulation problem. How you frame it, model it, handle missing information, and defend it.
  • Final: discussion with the Workbench team.

What You Need to Have

  • Experience and understanding of warehouse or supply chain operations.
  • Hands-on experience in designing and building simulation models, with a good understanding of different simulation paradigms and when to use (or not to use) them.
  • Comfort in a zero-to-one, high-ambiguity environment, and the thinking to move forward when the problem is not yet defined.
  • Strong engineering ability to build the models and the tooling around them, with AI leaned on for the execution.
  • A Master's or PhD in Industrial Engineering, Operations Research, Computer Science, or a related field, or a Bachelor's with equivalent hands-on simulation experience.
  • Nice to have: Warehouse automation, robotics, or material-handling exposure.
  • Nice to have: Digital-twin work, or simulation embedded in a product rather than run as a one-off study.
  • Nice to have: Experience owning a technical vertical or setting standards on a small team.

Why You Will Love Working Here

You will build the simulation practice, not inherit someone else's. This means real ownership on a team small enough that your judgment sets the standard, working directly with the Chief Scientist to build something that does not exist yet. You will be part of a team with domain experts and developers who support each other in achieving our goals. We move fast, we automate the busywork, and we back people who take initiative.

Compensation and Benefits

FIQ posts good-faith pay ranges. The base salary range below reflects experience, location, and internal equity.

Canada (Ontario)

Base salary range: 135,00K - 165,00K CAD per year.

Health and Wellness

  • Comprehensive extended health and dental coverage for you and your family
  • Employee wellness programs where applicable

Time Off

  • Competitive paid time off, sick leave, and public holidays
  • Flexible leave policies that respect local labour standards

Retirement and Financial Security

  • CPP contributions and a group retirement savings plan with employer contributions
  • Employee stock options (ESOP), where applicable

Professional Growth

  • Dedicated learning and development budget, with support for skills, leadership, and career progression

Flexible Work

  • Remote and hybrid work options, flexible hours aligned to role and client needs

Additional Perks

  • Equipment and workstation allowances, internet and business travel reimbursements, team events and offsites

Work Authorization

Applicants must be legally authorized to work in Canada.

Use of Artificial Intelligence in Hiring:

FIQ uses artificial intelligence to assist in the screening, assessment, and shortlisting of applications for this position, including features within our applicant tracking system. AI supports human reviewers and does not make hiring decisions on its own. Final hiring decisions are made by FIQ personnel. If you have questions about how AI is used in this process, contact hr@fulfillmentiq.com.

Accommodations:

FIQ is committed to an inclusive and accessible recruitment process. Consistent with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code, accommodations are available on request at any stage of recruitment and assessment. Contact hr@fulfillmentiq.com and we will work with you to meet your needs.

Candidate Privacy:

Your personal information is collected and used for recruitment purposes in accordance with FIQ's Candidate Privacy Notice, available here, and in accordance with applicable Canadian privacy law (PIPEDA). This includes the use of AI-assisted screening described above and cross-border storage or processing that may occur in the United States. By applying, you acknowledge this notice. Questions: hr@fulfillmentiq.com.

Equal Opportunity:

Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace. We consider all qualified applicants without regard to any ground protected under the Ontario Human Rights Code, including race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, or disability.

Learn More About Us:

Website: fulfillmentiq.com

LinkedIn: Fulfillment IQ

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