Senior Warehouse Simulation Engineer — Hybrid Toronto

Fulfillment IQ; Toronto; Hybrid; CAD 135,000 - 165,000; Full time

Benefits offered by this job

Remote and hybrid work options

Equipment and workstation allowances

Internet and business travel reimburse

Stock options (ESOP)

Job summary

Fulfillment IQ is seeking a Lead Supply Chain Simulation Engineer in Toronto, Ontario. The role centers on designing and owning the Workbench warehouse simulation engine, modeling warehouse operations, and integrating it into the main product.

You will work directly with the Chief Scientist and domain experts to build a zero-to-one capability, leading a team in a hybrid Toronto-based setting with strong emphasis on AI-enabled execution and rapid iteration.

Qualifications

• Experience and understanding of warehouse or supply chain operations.
• Hands-on experience in designing and building simulation models with different paradigms.
• Comfort in a zero-to-one, high-ambiguity environment and ability to move forward when the problem is not yet defined.

Responsibilities

• Translate warehouse operational processes into mathematical simulation models at various levels of granularity.
• Identify the right simulation paradigm and the best tools to solve it.
• Benchmark the performance of the simulation engine across warehouse operations.
• Drive the discussion around simulation as a product and establish a technical/product roadmap.
• Assemble and lead the team to build and maintain the simulation engine.

Skills

Warehouse operations

Education

Master's/PhD in Industrial Engineering/OR/CS

Bachelor's with hands-on simulation experience

Job description

Fulfillment IQ is seeking a Lead Supply Chain Simulation Engineer in Toronto, Ontario. The role centers on designing and owning the Workbench warehouse simulation engine, modeling warehouse operations, and integrating it into the main product.

You will work directly with the Chief Scientist and domain experts to build a zero-to-one capability, leading a team in a hybrid Toronto-based setting with strong emphasis on AI-enabled execution and rapid iteration.