Job Opportunities API

General Information: Job Title: Senior Industrial Engineer (Solution Design) Location: Toronto, ON (Onsite/Hybrid) Job Type: Full-Time Hiring Timeline: Immediate Existing Vacancy: Yes Application Deadline: Open until Filled Reporting Line: Director of Product Strategy Travel Expectations: 0-10%  Salary Range: $120K – $135K CAD per year (negotiable) 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, operations, 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:  We are looking for a Senior Industrial Engineer (Solution Design) who can go beyond traditional warehouse design and help shape how complex operational systems are defined, modeled, and scaled. This role sits at the intersection of industrial engineering, product development, and computational modeling. You will not only design warehouse solutions but also play a key role in structuring and standardizing design logic into reusable frameworks that power next-generation solution design systems. You’ll have the opportunity to influence how system design evolves—moving from one-off solutions to scalable, repeatable approaches. This is a high-ownership role, ideal for someone who enjoys working in ambiguous, early-stage environments and building from first principles. Mandate: Translate real-world warehouse design into structured logic Build reusable domain models for system design Bridge operations with product and computational systems   Must Have: 5–10+ years of industrial engineering experience in warehouse, logistics, or 3PL environments Hands-on experience designing warehouse layouts, staffing models, and process flows Strong understanding of warehouse operations (inbound, outbound, storage, fulfillment) Experience with labor modeling, productivity drivers, and equipment selection Ability to translate real-world systems into structured logic and models Familiarity with spreadsheet-driven modeling approaches Exposure to analytical tools (SQL, Python, neo4j) is preferred Experience in consulting, solution design, or operational engineering environments Nice to Have: Experience with simulation tools (AnyLogic, FlexSim, Simio, Arena, etc.) Exposure to automation technologies (AS/RS, robotics, conveyors) Experience working with optimization or decision-support models Prior involvement in building tools, frameworks, or reusable design methodologies Key Responsibilities: System Design & Problem Structuring Design end-to-end warehouse and logistics systems Break down workflows into structured components (processes, constraints, decision points) Translate ambiguous requirements into model-ready problem definitions Domain Modeling & Knowledge Structuring Convert operational know-how into structured frameworks, rules, and parameters Define and refine process assumptions (time standards, throughput, resource utilization)   Create reusable representations of system components, such as: Labor and staffing models Equipment and infrastructure choices Space and flow design principles Product & Modelin