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
Role OverviewWorkbench 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 GoesThink 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 HereYou 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 BenefitsFIQ 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.
