Modeling Engineer; Automotive

Position: Requirements Modeling Engineer (Automotive)
About the role
1272-1 - Requirements Modeling Engineer (Automotive) at Zobility in Windsor, Ontario.

Responsibilities
Feature Modeling Engineer (FDME) is responsible for providing Client with:

Operational Analysis / System / Sub-systems / Components models.

Tests reports for individual layers (with issues root cause analysis)

Traceability report between Requirement, Test cases / Models.

The FDME will be deeply involved in the success of major ambitions of the company:

Functional complexity reduction

Quality improvement throughout specifications issues deletion.

Simplification of Product diversity management based on MBSE approach.

Decrease time to market throughout lead time reduction.

Decrease Integrational issues between layers

Interact with system architect/designers/FDML/FDME/PO/SM/Solution architect

Should adapt to agile way of model development

Always work with online files/repository.

Follow the standard guidelines and process.

Reports any tools issues to the vendor, Also reports Plugin, Profiles, helper issues.

Attend Agile Scrum/Planning/BRP/Retro/review meeting regularly.

Scope spans across all levels of the engineering structure: from vehicle to subsystems and components.

FDMEs are tasked with implementing new MBSE methods and process evolutions for their own activities/perimeters, and with a cross-functional responsibility to deploy them to all concerned engineering teams.

In this context, the FDME will be assigned with deployment of modeling concepts to support system requirements, design, analysis, verification, and validation of all vehicle's features using relevant tools compliant with Client budget and roadmaps.

Specific assignments are:

Converge with system teams leaders/designers on the definition of use cases where and when MBSE should be deployed, at ENG + SWx level (which projects, architectures, modules…)

Monitor the MBSE deliverables within the respect of MBSE Roadmap, system teams backlogs, projects timelines.

Measure the MBSE deployment throughout the right KPIs and sharing them with counterparts (System team daily dashboards, management line, etc)

Support on System Team Modeling Staffing

Evaluate system team coverage by MBSE approach and raise staffing needs on their own perimeters.

Identify training/coaching needs for modelers to ensure MBSE efficiency

Requirements

Strong proficiency and minimum 3+ years of hands-on experience with UML and SysML modeling languages, as well as common MBSE structures and solutions

Model-Based Systems Engineering (MBSE), Requirements Modeling, and System Architecture Expertise

Proficiency in systems engineering practices, including requirements engineering (INCOSE practices), system integration, verification, and testing (end-to-end SE lifecycle)

Real-world experience in developing use cases, business models, state machines, and other SysML artifacts

Experience with IBM Rational Rhapsody or similar tools (e.g., Magic Draw); familiarity with EWM, DOORS, Git Hub, and testing tools

Good understanding of communication protocols and EE system requirements

Experience with object-oriented programming (C++, Java)

Experience in automation and scripting to support systems engineering processes

Excellent communication and collaboration skills, with the ability to work effectively with tool developers, engineering teams, and customers

Autonomy and ability to work without supervision in an agile environment

Proven ability to produce high-quality model-based requirements, interface definitions, and design specifications in a collaborative environment

Preferred:

Experience in Java development, including API and plugin development (especially for IBM Rhapsody)

Experience with INCOSE best practices and system lifecycle

Agile certification or significant experience in an Agile environment

Experience in the automotive industry and with related tools (MATLAB, CATIA Magic)

VEOS training and GUI development with WPF

Ability to integrate auto-generated code on various platforms;
Knowledge of AUTOSAR compliant code generation

Knowledge of or interest in AI and large language models (LLMs)

Design for Six Sigma (DFSS) certification

Familiarity with Orthogonal Arrays for System Behavior Testing