Exterior Structural CAE Engineer (W2 Position)

Coordination with other areas such as: Design and Release Engineers, CAE teams, Digital Innovation, Suppliers, Vehicle Engineering and Manufacturing, to develop integral solutions using math virtual simulations. Additional Information: ***HYBRID / 4 days per week in office*** EDUCATION/TRAINING Engineering degree (Mechanical, Mechatronics, Science Materials are desirable) or related disciplines with coursework in Finite Element Methods.

We have a job opportunity of a Role Exterior Structural CAE Engineer with given job description on W2. Please forward updated profile to

Koti@megansoft.com

or +1 (248) 671-4750.

Role:Exterior Structural CAE Engineer (W2 Position)

Location: Dearborn, MI(Hybrid)

Duration: 12+ Months

Experience: 5+ Years

Client: Ford Motors

JD:

• MAJOR DUTIES/RESPONSIBILITIES Leads the System Design Specification analysis, design development and results documentation of exterior systems components.
• Ability to create and modify finite element models that predicts vehicle structure performance by following the corporate requirements and procedures.
• Conduct CAE model audits. Help to develop new analytical capabilities for a better prediction and physical tests. Participates in global forums and meetings to share technical information about new procedures and new ways of simulation.
• Coordination with other areas such as: Design and Release Engineers, CAE teams, Digital Innovation, Suppliers, Vehicle Engineering and Manufacturing, to develop integral solutions using math virtual simulations.
• Produces and evaluates solutions to improve the quality and cost of the designs, based on specialized engineering knowledge.
• Interpret results from CAE and physical tests for the development of feasible counter-measures to meet systems and component level requirements. Correlate CAE models with physical tests.

Skills Required:

• CAE, Analyst

Skills Preferred:

• Hypermesh, CAD/Meshing tools

Experience Required:

• SKILLS/ABILITIES Independent, self-motivated, goal oriented, highly organized and persistent.
• Able to work both independently and effectively with others.
• Ability to summarize and present technical work to cross-functional teams.
• Ability to balance theory with practical limitations.
• Excellent self-learning skills. Identify and execute work at a level of detail consistent with the need for accuracy, balanced with timeliness.
• Creative thinker, able to quickly assess problems and drive effective responses.
• Flexible, able to rapidly respond to new situations and to perform multiple tasks.
• Leadership; able to motivate, encourage, negotiate and gather consensus with colleagues having diverse motivations and departmental goals.
• Able to work remotely and in a global environment. Fluent in English (oral and written).

Experience Preferred:

• HIGHLY PREFERRED EXPERIENCE Good understanding of materials properties.
• Knowledge of FEA theory and Structural CAE, Durability and/or Fatigue CAE Analysis.
• Knowledge of both Linear Static and Non-Linear Dynamic analyses, including impact FE analyses.
• Knowledge in meshing & postprocessing software like ANSA, HyperMesh, HyperView and MetaPost.
• program is desirable.
• +5 year Experience with Abaqus, NCODE, Nastran and/or other commercially available FEA program for structural and fatigue analyses are desirable.
• Knowledge of automotive product development processes and validation (preferably Ford GPDS).
• Knowledge of welds and fatigue theory. Knowledge of statistical and optimization tools / techniques.
• Demonstrated ability to devise, create, or adapt novel analysis methods.
• Evidence of technical excellence as indicated by technical presentations and reports.
• Familiarity with Team Center and Catia.
• 90% English skills (Oral, reading, writing, and listening) Strong analytical and communication skills Programming skills, Python, Mathlab, C, CC++, or other

Additional Information :

• ***HYBRID / 4 days per week in office*** EDUCATION/TRAINING Engineering degree (Mechanical, Mechatronics, Science Materials are desirable) or related disciplines with coursework in Finite Element Methods. MS and Ph. D. degree preferred. DFSS Green Belt (or Equivalent certification in statistical and optimization tools and techniques) preferred."