MBSE Solution Architect (US Citizen)

PowerToFly; Waltham (MA); On-site; USD 130,000 - 180,000; Full time

Job summary

Dassault Systèmes is seeking an MBSE Solution Architect to define robust MBSE solution architectures supporting Virtual Twin Experiences and AI-driven initiatives. You will lead customers through deployment, design architectures, and provide consulting across enterprise architecture, requirements engineering, systems modeling, and simulations.

You will apply SysML, Modelica, UAF, and MagicGrid while guiding stakeholders through the full project lifecycle and ensuring successful go-live adoption

Qualifications

• Bachelor’s degree in Engineering, Systems Engineering, Computer Science, or related technical discipline with 5–10 years of relevant experience.
• A master’s degree in Systems Engineering with 5–7 years of relevant experience may be considered.
• Deep knowledge of MBSE principles, processes, methodologies, and industry standards.
• Strong experience with requirements engineering, systems architecture design, systems modeling, and systems simulation.
• Hands-on experience with modeling languages and frameworks such as SysML, Modelica, UAF, and MagicGrid.
• Experience with CATIA Magic/Cameo, Dymola, STIMULUS, 3DEXPERIENCE, or comparable MBSE solutions.
• Knowledge of PLM/ALM platforms (ENOVIA, etc.) and lifecycle-management solutions.
• Experience developing MBSE processes, methodologies, standards, and best practices.
• Previous consulting or professional-services experience with structured, quality-focused project delivery.
• Experience across the complete project-delivery lifecycle.
• Strong customer-facing, presentation, and communication skills.

Responsibilities

• Lead deployment and adoption of MBSE-enabled Virtual Twin Experiences.
• Design comprehensive MBSE solution architectures aligned with customer objectives and scope.
• Provide consulting in enterprise architecture, requirements engineering, and MBSE best practices.
• Guide customers in using CATIA Cyber Systems solutions and 3DEXPERIENCE platform.
• Apply SysML, Modelica, UAF, and MagicGrid in modeling activities.
• Collaborate with Dassault brands and regional services teams.
• Share knowledge through publications, presentations, and industry events.
• Maintain expert MBSE capability across technologies and industry standards.

Skills

SysML

Modelica

UAF

MagicGrid

CATIA Cameo

Dymola

3DEXPERIENCE

Requirements engineering

Systems architecture design

Systems modeling

Systems simulation

MBSE methodologies

Consulting

Technical leadership

Education

Bachelor's degree in Engineering/Systems Engineering/Computer Science

Master’s degree in Systems Engineering (optional/considered)

Tools

CATIA Magic/Cameo

Dymola

STIMULUS

3DEXPERIENCE

ENOVIA

Job description

Role Description & Responsibilities

Dassault Systèmes is seeking an MBSE Solution Architect to define Model-Based Systems Engineering solution architectures that support our customers’ Virtual Twin Experiences and AI-powered generative Virtual Twin initiatives.

• Lead customers through the deployment and adoption of Virtual Twin Experiences based on Model-Based Systems Engineering, mission and systems modeling, enterprise architecture modeling, and related methodologies.
• Design comprehensive MBSE solution architectures that align with customer business objectives, technical requirements, and committed project scope.
• Provide consulting expertise in enterprise architecture, requirements engineering, systems architecture design, systems simulation, and MBSE methodologies.
• Guide customers in the effective use of CATIA Cyber Systems solutions, including CATIA Magic/Cameo, Dymola, STIMULUS, and the 3DEXPERIENCE platform.
• Apply SysML, Modelica, UAF, MagicGrid, functional and logical modeling techniques, and systems-engineering best practices.
• Support customers in industries such as aerospace and defense, AI factories, data centers, and rail infrastructure.
• Serve as a trusted technical advisor by translating customer expectations and business objectives into scalable systems-engineering solutions.
• Provide technical leadership throughout the project-delivery lifecycle and help secure successful solution go-live and adoption.
• Develop and improve MBSE processes, methodologies, implementation standards, and best practices.
• Collaborate closely with internal Dassault Systèmes brands, regional services organizations, and technical teams.
• Contribute to internal and external systems-engineering communities through knowledge sharing, publications, presentations, and industry events such as INCOSE.
• Capture and share knowledge and best practices gained through customer engagements.
• Maintain an advanced level of expertise across MBSE technologies, processes, industry standards, and Dassault Systèmes solutions.

Qualifications

• Bachelor’s degree in Engineering, Systems Engineering, Computer Science, or a related technical discipline with at least five to ten years of relevant experience.
• A master’s degree or equivalent engineering degree in Systems Engineering with at least five to seven years of relevant experience may also be considered.
• Deep knowledge of Model-Based Systems Engineering principles, processes, methodologies, and industry standards.
• Strong experience with requirements engineering, systems architecture design, systems modeling, and systems simulation.
• Hands-on experience with modeling languages and frameworks such as SysML, Modelica, UAF, and MagicGrid.
• Experience with CATIA Magic/Cameo, Dymola, STIMULUS, 3DEXPERIENCE, or comparable MBSE solutions.
• Knowledge of collaborative platforms, Product Lifecycle Management, Application Lifecycle Management, ENOVIA, and systems or software lifecycle-management solutions.
• Experience developing MBSE processes, methodologies, standards, and best practices.
• Previous consulting or professional-services experience with a structured and quality-focused approach to project delivery.
• Experience working across the complete project-delivery lifecycle.
• Strong technical leadership skills and experience leading customer engagements.
• Ability to understand complex customer expectations, objectives, and technical environments.
• Strong customer-facing, presentation, consulting, and communication skills.
• Ability to work effectively across internal teams, customer organizations, technical communities, and different cultures.