Model-Based Systems Engineer - Digital Transformation

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!

In this position...

Are you ready to ignite your career and drive the future of automotive digital engineering? We are seeking an ambitious and skilled Model-Based Systems Engineer to join our Digital Transformation team. In this role, you will be at the forefront of digital innovation, helping shape the digital tools and processes Ford utilizes for systems engineering and failure mode avoidance through the strategic implementation, customization, and support of enterprise-wide tools like CATIA Magic (MagicDraw/Cameo) and Teamwork Cloud (TWC).

Applying your expertise in Model-Based Systems Engineering (MBSE), you will bridge the gap between advanced systems engineering methodologies and practical, robust tool deployment. You will be responsible for the end-to-end systems engineering lifecycle of our MBSE tools and methods—from selecting and evaluating best-in-class MBSE processes to implementing complex software integrations that enable concurrent product creation across Ford’s global Product Development organization. 

Working closely with our Enterprise Technology partners, you will empower Ford’s global engineering teams by developing custom tool enhancements and integrations, managing server collaborations, and driving the organizational adoption of MBSE. If you have a passion for engineering excellence, digital transformation, and model-based systems engineering, join us and turn your passion into a tangible legacy. 

You'll have...

Minimum Requirements:

• BS in Engineering (e.g., Systems Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering)  or a related field 
• 3+ years of experience in model-based systems engineering (MBSE) and SysML
• Advanced, hands-on expertise with MagicDraw / CATIA Magic and Teamwork Cloud (TWC) 
• Demonstrated experience creating and managing DSLs (domain-specific languages) and MagicDraw profiles.
• Working knowledge of SAE J1739 Failure Mode Avoidance (FMA) disciplines and CATIA Magic integrations  
• Experience providing technical user support, issue management, and training/mentoring in SysML/MBSE/CATIA Magic

Even better, if you have …

Preferred

• MS in Engineering (e.g., Systems Engineering, Software Engineering, Computer Science)
• 5+ years of systems engineering and model-based systems engineering experience
• OMG SysML and/or INCOSE Systems Engineering Professional (ASEP/CSEP) certifications
• Deep understanding of SysML model composition, architecture patterns, and collaboration best practices
• Experience serving as a Lead Systems Engineer on a major MBSE project and/or leading MBSE adoption and deployment at an organizational or large-project scale
• Familiarity with AI/ML principles, integrations, and deployment within engineering tools (e.g., AI-assisted modeling)
• Familiarity with SysML V2 and the RAAML standard
• Experience with Agile/SAFe methodologies, Jira backlog maintenance, and requirements management tools
• Experience utilizing the 3DEXPERIENCE (3DX/CATIA) environment and MagicDraw/CATIA Magic connectors/integrations (such as Data Hub)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service 
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day 
• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7-8 and ranges from $99,600 - $192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

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What you'll do...

• MBSE Tool Ownership: Create, manage, and maintain custom Domain-Specific Languages (DSLs) and MagicDraw/CATIA Magic profiles to align with Ford’s specific engineering standards and Failure Mode Avoidance (FMA) methodologies. Work directly with the tool vendor on plugin and integration development, deployment, and tool lifecycle management.  
• Engineering Ecosystem Development: Collaborate with cross-functional teams and IT matched-pairs to integrate MBSE tools with other enterprise systems. Expand cross-tool interoperability to include 2D/3D CAD design data, requirements, and CAE disciplines to enable a seamless Digital Thread across the product lifecycle.  
• Drive MBSE Adoption: Contribute subject matter expertise and technical mentorship to product development teams to accelerate enterprise adoption and deployment of MBSE methodologies and CATIA Magic.  
• Engineering Excellence: Support Quality and Robustness Workstreams: Ensure MBSE model structures and processes seamlessly support SAE J1739 Failure Mode Avoidance (FMA) disciplines and the RAAML standard (Risk Analysis and Assessment Modeling Language), including digital execution of DFMEAs, Boundary and P-Diagrams, and Robustness Checklists. Support digital transformation of FMA processes from document- to model-based.  
• Deliver Technical Support: Provide robust user support, issue management, and continuous tool enhancements for the enterprise MBSE tool suite, troubleshooting complex modeling and integration challenges. Support Enterprise Technology teams with Teamwork Cloud (TWC) infrastructure activities, including server upgrades and performance improvements. 
• Develop MBSE Training Materials: Create, maintain, and update tool training documentation, modeling guidelines, and learning materials to accelerate onboarding and ensure consistent modeling practices across functional teams.  
• Research Emerging Tech: Research and implement emerging technical differentiators – including Generative AI-driven solutions and SysML V2 – within the systems engineering environment to accelerate modeling tasks and improve overall model quality.