Systems Engineer

Ford-Motor-Company; San Bartolo Naucalpan Centro; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Ford Mexico is seeking a Systems CAE Engineer to lead advanced CAE analysis and optimization across vehicle subsystems. You will apply multi-disciplinary methods to improve cost, weight, and performance while meeting safety KPIs, NVH, durability, and vehicle dynamics requirements.

The role requires deep experience with leading CAE tools such as 3DX, Hyperworks, and LS-Dyna, plus strong collaboration with Architecture, Manufacturing and CAE teams.

Formación

• Bachelor's degree in Mechanical, Electrical, Aerospace, or Automotive engineering.
• 10–15 years of experience in Automotive/Aerospace or Systems Engineering.
• Experience with CAE toolsets including Dassault 3DX, Altair Hyperworks, Inspire/SimSolid, LS-Dyna, ADAMS.
• Knowledge of automotive material behaviors including plastics, composites, foams and metal.
• Expertise in translating dynamic load cases into static behavior software.

Responsabilidades

• Advance CAE analysis and simulation using state-of-the-art tools and processes.
• Perform system optimization and trade studies using advanced optimization software (ModeFRONTIER, 3DX Abaqus/Tosca, Altair Optistruct).
• Validate requirements and ensure system concepts are data-driven.
• Collaborate with Vehicle Architecture, Manufacturing, Vehicle Hardware and CAE teams.
• Create virtual models using 3DX to bridge CAD and CAE for rapid results.
• Mentor teams and transfer knowledge on CAE workflows and tool ecosystems.
• Benchmark vehicle systems and CAE tools to maintain engineering excellence.

Educación

Bachelor's degree in Mechanical, Electrical, Aerospace, or Automotive engineering

Master's degree or professional accreditation

Herramientas

3DX (Dassault 3DEXPERIENCE)

Altair Hyperworks

Inspire / SimSolid

LS-Dyna

ADAMS

ModeFRONTIER

3DX Abaqus/Tosca

Altair Optistruct

Descripción del empleo

The Systems Engineering team provides end-to-end, industrialized solutions encompassing the entire lifecycle of complex vehicle systems. From initial concept and requirements derivation through architecture design, integration, testing, and deployment, we ensure seamless coordination across multidisciplinary teams to deliver highly optimized, innovative, and safe vehicles.

We are seeking a highly capable and rigorous Systems CAE Engineer to drive product excellence and system integration. In this role, you will apply advanced Computer-Aided Engineering (CAE) analysis and optimization techniques to automotive development, supporting key System of Interest projects. You will act as a technical authority for Multidisciplinary Design Optimization (MDO), sensitivity analysis, and system selection. By combining deep technical expertise with a holistic, highly structured approach to vehicle and system design, you will ensure that systems are optimized for cost, weight, and performance, while strictly meeting Safety, NVH, Vehicle Dynamics, and Durability KPIs.

In this position, you will do...

Advanced CAE Analysis & Simulation:

• Continuously improve: CAE tools and processes, implementing new-to-Ford techniques (such as AI-driven analysis), and serve as a liaison with key CAE tool suppliers.

• System Optimization & Trade Studies: Optimize vehicle systems across cost, weight, and performance objectives. Utilize advanced optimization algorithms and software (such as ModeFRONTIER and 3DX Abaqus/Tosca / Altair Optistruct) to conduct Multidisciplinary Design Optimization (MDO). Assess multiple design paths and perform rigorous sensitivity analyses to inform and support the system selection workstream.

• Requirements Validation: Ensure the applicability of system requirements. Identify and challenge requirements that are not applicable or lack clear legacy reasoning. Analyze system models and elements to rigorously verify that the system concept is supported by the data.

• Cross-Functional Collaboration: Confidently navigate environments with low initial cross-functional communication, building strong interactions to resolve complex issues. Establish strong relationships with key working partners across Vehicle Architecture, Manufacturing, Vehicle Hardware, Vehicle Attributes, and CAE teams.

• Virtual Modelling & Communication: Create virtual models utilizing integrated platforms like 3DXto bridge 3D CAD and CAE, communicating concepts clearly. Articulate system optimization ideas seamlessly to both CAD and CAE teams to ensure fast turnaround of results with minimal iterations.

• Mentorship & Knowledge Transfer: Develop and expand team knowledge in the latest CAE processes and tool ecosystems (e.g., the broader Altair and 3DX suites). Coach and mentor both internal and external teams, organize led training courses to advance tool capabilities, and maintain comprehensive documentation of key analysis conclusions and next steps.

• Benchmarking & Excellence: Conduct ongoing benchmarking of vehicle systems and industry CAE tools to ensure Ford remains at the forefront of Systems Engineering and FEA disciplines.

Minimum:

• Bachelor's Degree within a Mechanical, Electrical, Aerospace or Automotive discipline.
• 10 – 15 years of experience in the Automotive/ Aerospace industry and/or Systems Engineering.
• Experience with cutting-edge CAE toolsets — including Dassault 3DX (3DEXPERIENCE), Altair Hyperworks, Inspire / SimSolid, LS-Dyna, ADAMS.
• In depth knowledge of automotive material behaviors including plastics, composites, foams and metal.
• Expertise in CAE capability and limitations, able to accurately translate dynamic load cases into static behavior software.
• Strong communication and interpersonal skills with a proven track record of presenting complex technical simulation findings and influencing cross-functional design teams.

Preferable:

• Master's degree or professional accreditation/chartership from a recognized institution.
• Experience with scripting languages (i.e. python, ANSA etc.) for CAE workflow optimization
• Experience with modelling composite materials capturing fiber orientation and knit lines for structural CAE models.

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