AGC | Computer Aided Engineer (Corporate), Farmington Hills, MI

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Get to Know Us:

AGC Automotive Americas (AANA) is a leading supplier of automotive glazing for the OEM and aftermarket industries and is part of the AGC Group, the largest global glass supplier employing more than 50,000 worldwide in approximately 30 countries.

Culture:

Expectations are high and team successes are celebrated. We believe in the power of skilled, engaged, and united teamwork backed by open, honest communication. Integrity matters most and is essential for building trust with teammates and with customers.

Summary of Position:

The CAE provides the core expertise within the organization for computational methodologies that support product and process development.  Their responsibilities include leading the creation of predictive simulation methodologies and product-specific CAE tools for design and optimization of automotive glazing products.  This covers a diverse range of topics, including:

  • glass/polymer/metal strength and fatigue
  • elastomer deformation and reaction force
  • bonding robustness over a wide range of environmental and loading conditions
  • glass stack optical properties
  • electrical heating
  • surface prediction/analysis
  • optical calculations
  • data aggregation and application to tools and methods

The CAE will work closely with the CAE Lead Designer, who is responsible for executing complex simulation jobs, in support of development projects.  They will also work closely with the R&D and Validation teams to connect theory, physical measurement and the virtual environment.

Location of Position: Farmington Hills, MI (on-site)

Responsible for:

  • Leading development and documentation of complex methodologies for standardized use by the design team, as well as “one off” analyses for atypical conditions
  • Refinement of existing analysis methods to improve accuracy, speed and breadth
  • Working with adjoining functions to collect physical data and correlate CAE models
  • Collaborating with suppliers to develop / improve material database and accuracy of models
  • Providing input for planning and execution of the digital roadmap
  • Maintaining up-to-date knowledge of available digital technologies and their potential application in the CAE space

Ideal Candidate Core Qualities:

  • Creative – You possess the internal need to create and continually iterate.  You look at situations with an open mind and develop smart, efficient and often non-obvious solutions.
  • Innately Curious – You are naturally curious about cause-effect relationships, what-if scenarios and why-done analysis.
  • Intuitive – You have the ability to see interconnections and dependencies between seemingly disparate pieces.  You can identify a missing element and/or gap based on general logic, even without having specific knowledge or experience in the subject.
  • Self-Educating – In addition to formal training opportunities, you possess an internal drive to identify areas of missing knowledge and independently close gaps.
  • Internally Motivated – You have an internal drive based on interest and/or self-imposed expectations. 
  • Humble / Customer Serving – You embody our mission to enable the customer facing teams to be successful.  You understand that our customer’s failure is, at least on some level, our failure.

Qualifications:

  • Bachelor's degree in Engineering or Physics
  • 5+ years professional experience in an FEA / CAE role
  • General knowledge of vehicle development and typical part/body/environment interfaces
  • Strong understanding of material properties and their use in analytical applications
  • Experience in building predictive models utilizing commercially available software packages
  • General understanding of physical validation methodologies
  • Strong organizational, communication, presentation and coaching skills
  • Proficient in MS Office products

Preferred:

  • Experience with ABAQUS, Simulia and Catia V5/3DX
  • Experience in correlating simulation methods to physical test data
  • Competency in a programming language such as Python, Visual Basic, Java, or Matlab
  • Experience in machine learning model development

What can AGC Offer You?

  • Competitive compensation
  • A structured bonus plan
  • Medical, dental, and vision coverage
  • 401(K)
  • Generous PTO program
  • Discount programs
  • Opportunities for growth

Equal Employment Opportunity Employer – To be considered applicants must be legally authorized to work in the United States without sponsorship.