Mbse modeler

Descripción del cargo

The Opportunity

WSP is seeking an experienced Model-Based Systems Engineering (MBSE) Modeler to develop, maintain, and govern integrated SysML models for complex transportation, rail, infrastructure, and multidisciplinary engineering programs.

The successful candidate will work closely with System Architects, Systems Engineers, Requirements Managers, Interface Managers, and Subject Matter Experts (SMEs) to translate requirements, functions, architectures, and interfaces into coherent, traceable, and auditable system models. This role supports early identification of integration risks, model inconsistencies, and potential impacts on design, cost, schedule, and delivery.

Key Responsibilities

Develop and maintain SysML model structures, package hierarchies, and architectural views based on Product and System Breakdown Structures (PBS/SBS).
Model functional, logical, physical, hardware, software, and interface architectures.
Create Block Definition Diagrams (BDD), Internal Block Diagrams (IBD), flow diagrams, interface schematics, and related artifacts.
Maintain requirements traceability, allocations, interface definitions, and verification relationships.
Support synchronization between SysML models and requirements management tools such as IBM DOORS and DOORS Next.
Apply modeling standards, configuration management practices, and governance processes.
Perform model audits, impact assessments, anomaly analysis, and traceability reviews to identify conflicts, gaps, and architectural inconsistencies.
Participate in architecture workshops, design reviews, interface reviews, and technical assurance activities.
Generate reports, diagrams, matrices, and documentation for technical and non-technical stakeholders.
Contribute to reusable modeling libraries, methods, standards, and continuous improvement initiatives.

Key Deliverables

SysML model packages and structured model trees.
Functional, logical, physical, hardware, and software architectural views.
Block Definition Diagrams, Internal Block Diagrams, and flow diagrams.
Interface schematics, matrices, and interface definitions.
Requirements containers and traceability structures.
Configuration-controlled model baselines.
Model quality, audit, anomaly, and impact assessment reports.

Required Qualifications

Bachelor’s degree in Systems Engineering, Software Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, or a related discipline.
Experience developing and maintaining models for complex engineering or technology systems.
Knowledge of systems engineering lifecycle processes, requirements management, architecture development, interface management, configuration management, and verification & validation.
Experience with SysML v1 and/or SysML v2.
Ability to transform multidisciplinary engineering information into structured and auditable models.
Strong analytical, documentation, communication, and problem-solving skills.

Technical Skills

Experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, IBM Rhapsody, Capella, Sparx Enterprise Architect, PTC Modeler, or equivalent SysML platforms.
Familiarity with IBM DOORS, DOORS Next, or similar requirements management tools.
Understanding of configuration management concepts including check-in/check-out, branches, merges, tagging, conflict resolution, and model baselines.
Knowledge of UML is considered an asset.
Understanding of model governance, reusable libraries, quality assurance, and digital engineering practices.

Preferred Industry Experience

Rail and transit systems
Transportation infrastructure
Aerospace and avionics
Defence programs
Industrial facilities, oil & gas, pipelines, refineries
Large-scale safety-critical systems integration programs

Key Competencies

Systems thinking and understanding of complex dependencies and change impacts.
Strong attention to detail, traceability, and model quality.
Ability to collaborate effectively with SMEs, Systems Engineers, and System Architects.
Excellent communication and teamwork skills across multidisciplinary and geographically distributed teams.
Accountability, curiosity, technical judgment, and a continuous improvement mindset.
Ability to explain complex model findings to both technical and non-technical audiences.