Senior Industrial Engineer (Solution Design)

Fulfillment IQ•Toronto, ON

36d•Hybrid

About The Position

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. 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.

Requirements

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
Bachelor’s or Master’s degree in Industrial Engineering, Operations Research, Supply Chain, or a related field
Proven experience working as a Solutions Engineer or Industrial Engineer within large-scale 3PL, logistics, or supply chain organizations (senior-level experience preferred)
Strong understanding of warehouse design, operational workflows, and end-to-end solutioning in logistics environments
Ability to translate operational requirements into structured models and scalable design frameworks
Excellent analytical, problem-solving, and communication skills

Nice To Haves

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

Responsibilities

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
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
Work with product and engineering teams to translate domain logic into scalable systems
Define how trade-offs (cost, service, space, throughput) are represented in models
Support the development of systems that evaluate multiple design scenarios
Validate system outputs against real-world feasibility
Identify gaps between models and execution
Continuously refine system logic based on feedback

Benefits

Comprehensive health and dental coverage for you and your family (region-specific plans)
Employee wellness programs where applicable
Competitive paid time off (PTO), sick leave, and public holidays
Flexible leave policies that respect local labor standards
Retirement savings programs and employer contributions
Region-specific plans (401(k) in the U.S., CPP and supplementary plans in Canada)
Dedicated learning and development budget
Support for skills development, leadership growth, and career progression
Remote and hybrid work options
Flexible working hours aligned to role and client needs
Equipment and workstation allowances
Internet and business travel reimbursements
Employee stock options (ESOP), where applicable
Team events, meetups, and company offsites