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The Ford Champs Program provides students with hands-on, career-specific experience inside Ford of Mexico.
Ford Champs looks forward to providing you with key knowledge and significant experiences for your professional career. This is a great platform to connect with leadership, collaborate with professionals in many areas of the business and learn more about our Ford full time opportunities. Throughout this program, there are many opportunities to gain insight and exposure to our business that will last a lifetime.
Ford Champs will allow to get to now different business areas through 12 months, while you improve your skills and become a better professional.
We are seeking a Structural CAE Analyst to join our team, specializing in the analysis and development of Automotive Closures and sheet metal components. The ideal candidate will have knowledge in performing NVH, Fatigue, and non-linear Impact analyses, as well as knowledge of Closures interface components and related hardware. The successful candidate will be responsible for developing and validating design countermeasures to address complex Closures system level issues, utilizing systems engineering principles and FMEA methodologies. Additionally, basic knowledge of manufacturing processes and design constraints is desirable. The Structural CAE Analyst will play a critical role in ensuring the quality and performance of our Automotive Closures systems, and will collaborate with cross-functional teams to drive design innovation and optimization.
• Perform CAE Analysis and provide design optimization within the program dead lines
• Develop CAE Models and plans to support program milestones
• Support resolution of functional issues within a cross-functional team
• Create CAE Engineering status reports and verify completeness and correctness of CAE Assessments
• Optimize the function, cost and mass of forward model systems using advanced CAE Tools
• Develop or improve current CAE methods and processes using Agentic and Generative AI and ML
• Participating in cross-functional alignment between D&Rs in different functions to comply with the requirements
• Develop Performance vs Cost for each requirement for optimized decision making
• Support ongoing improvement and automation of CAE process
Position Specific Requirements and Responsibilities
• Knowledge of FEA theory and Structural CAE, with NVH, 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.
• Knowledge of CAE any analysis Software including Abaqus, Nastran, LS-Dyna, FDYNAM or nCode, Optistruct, Hyperworks etc.
• Build and setup FE models, perform CAE iterative analyses to identify and resolve issues within design and time constraints.
• Verify accuracy and completion of CAE assessments and provide milestone Engineering Status Reports.
• Knowledge of statistical tools, DOE & Optimization Studies to identify design alternatives.
What you´ll need:
- Active student from any of the last 2 semesters of (completar)
- 90% English skills (Oral, reading, writing, and listening)
- Strong analytical and communication skills
- Programming skills, Python, Matlab, C, C++, R, or other.
- Experience with the following is preferred:
- Understanding different CAE methods Explicit and Implicit.
- Multi-objective optimization using CAE is desired
- Experience with Optimization software like ModeFrontier, Heeds or iSight
- Structural optimization experience using OptiStruct or Tosca is a bonus
- Excellent written and verbal abilities
- Strong interpersonal skills including relationship building preferred
- Excellent numerical and analytical skills
- Fully competent with Microsoft Office Tools
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About Ford

Ford
PublicThe Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.
10,001+
Employees
Naucalpan de Juarez
Headquarters
$48B
Valuation
Reviews
3.4
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.9
Management
2.3
45%
Recommend to a Friend
Pros
Good pay and benefits
Decent work-life balance options
Learning and advancement opportunities
Cons
Poor management and favoritism
Mandatory overtime and exhausting schedules
Limited growth opportunities
Salary Ranges
36 data points
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1 reports
$132,847
total / year
Base
$102,190
Stock
-
Bonus
-
$132,847
$132,847
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Phone Screen
2
Technical Interview
3
Behavioral Interview
4
Final Round Interview
Common Questions
Behavioral
Technical
Assessment
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