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Added 18 mins ago
TA
Summer Intern (Veterinary Student)
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- Temporary
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Fulfillment IQ

Staff Supply Chain Simulation Scientist

Remote, Canada

Remote

$145,000 to $170,000 CAD / year · Full-time

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Job details

Pay: $145,000 to $170,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 3, 2026

Original job description

Job Title: Staff Supply Chain Simulation Scientist

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

Base salary range: 145,00K - 170,00K CAD per year with a 12 percent target bonus.

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

5+ years, capable of architecting simulation solutions, not just operating simulation tools.
Experience and understanding of warehouse operations, material handling, robotics, conveyors, AMRs, and automation.
Strong experience with discrete-event simulation (DES), AnyLogic, FlexSim, Siemens Plant Simulation, or similar.
Experience with Python, simulation frameworks (SimPy, etc.).
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.
Experience with NVIDIA Omniverse, Isaac Sim, OpenUSD, CAD-to-3D workflows.
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: 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.

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

Spotify: eCom Logistics Podcast Spotify

YouTube: eCom Logistics Podcast YouTube

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More about this job

Responsibilities

You will design, build, and own the warehouse simulation engine for the Workbench platform while leading the team responsible for its development. This involves translating complex operational processes into mathematical models and integrating them into the company's main product.

Requirements

Candidates must have 5+ years of experience in architecting simulation solutions and strong proficiency in discrete-event simulation tools and Python. A Master's or PhD in Industrial Engineering, Operations Research, Computer Science, or a related field is required, or a Bachelor's with equivalent hands-on experience.

Skills

Supply chain simulation
Warehouse operations
Discrete-event simulation
AnyLogic
FlexSim
Siemens Plant Simulation
Python
SimPy
NVIDIA Omniverse
Isaac Sim
OpenUSD
CAD-to-3D workflows
Robotics
Material handling
Automation
Mathematical modeling

Benefits

Extended health and dental coverage
Employee wellness programs
Paid time off
Sick leave
Public holidays
Group retirement savings plan
Employee stock options
Learning and development budget
Equipment and workstation allowances
Internet reimbursement
Business travel reimbursement

Visa sponsorship

Not detected in the job text

Keywords

Supply Chain
Simulation
Warehouse Design
Logistics
Automation
Discrete-Event Simulation
AnyLogic
FlexSim
Python
SimPy
NVIDIA Omniverse
Isaac Sim
OpenUSD
CAD
Industrial Engineering
Operations Research
Computer Science
Robotics
Material Handling
Mathematical Modeling
Product Roadmap
Zero-to-one
Consulting
Systems Implementation
Logistics Operations

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