Vehicle Attribute Engineer, Multi-Physics, CAE

Fremont, California
13 Oct 2018
13 Nov 2018
Contract Type
Full Time
The Role

As an Engineer with our CAE team, you will play a critical role through the design and development of Tesla products. You will analyze and optimize revolutionary vehicle designs never before executed, enabled by innovative clean-sheet design methodology and Tesla's innovative EV architecture. You will contribute by:

  • Providing CAE support through build of state of art FE models to the finest details.
  • Supporting design progression and evolution with multi-disciplinary engineering teams based on your analyses.
  • Drive manufacturing centric vehicle designs with CAE, while balancing all applicable requirements with state of the art design and innovative manufacturing methodologies.
  • Perform advanced CAE simulations to evaluate and enhance sub-systems and full vehicle simulations of specific design attributes and manufacturing processes.
  • Develop and apply advanced methodologies with smart analysis techniques to drive innovation into Tesla products.
  • High skills level in multidisciplinary domains of single and multi-phase CFD, Thermal, Coupled structural and Thermal, water-management, electro-chemical coat depositions and electromagnetics CAE.
  • Develop and support subsystem level & full vehicle correlations in line with standard protocols and best practices.
  • Perform post- test reviews and corroborate the CAE predictions to test results.
  • Develop highly predictive models of materials and processes to enable good correlations with physical tests.
  • Conduct optimization studies by utilizing optimization CAE tools, including DOE/ DFSS techniques on components, assemblies, or vehicle designs to meet performance requirements with the constraints of mass and cost.
  • Performing analyses for feasibility of manufacturing, assembly and service processes.
  • Providing input in the creation of component specification, component DFMEA, and other technical design documents where analysis plays a pivotal role.
  • Produce concise management summaries and report-outs that meet the needs of management system functions.

  • Bachelor's Degree in Mechanical Engineering required, Master's Degree or Ph.d., in Mechanical Engineering (preferred).
  • Deep knowledge of Finite Element Analysis, Finite Volume Method, Smooth Particles Hydrodynamics, CFD, Applied Solid Mechanics, Material science and Computational Numerical Methods within a product development environment in a transportation industry.
  • Minimum 5+ years of demonstrated successful experience with at least two relevant product lines.
  • Excellent applied software experience in ANSA or HYPERWORKS, ANSYS, STAR CCM+, FLUENT preferred. Additional experience in LS-DYNA, NASTRAN, TOSCA, MODEFRONTIER and ABAQUS beneficial.
  • Demonstrated experience in simulating steady state and transient single and multi-phase fluid flows on sub-systems and full vehicle level models.
  • Experience in handling structural, electro-magnetic and thermal simulations of electronic components and design of heat dissipation equipment.
  • Experience in handling coupled fluid-structure problems, electro-chemical film deposition, fluid flow through vehicle bodies, heat and bake event simulations etc., is preferred.
  • Knowledge of optimization tools and techniques (Not required but preferred).
  • Demonstrated ability to work independently and with others on problems that are unusual or difficult.
  • Demonstrated ability to deconstruct complex test scenarios with good logic and analytics and root-causing correlation problems.
  • Demonstrated ability in iterative and collaborative automotive-similar engineering environments (at least 1 vehicle program).
  • Success in roles requiring high levels of technical communication and interpretation of analytical results to Design Engineers and Technical Management.
  • Strong preference (but not required) for experience in 3D CAD modeling - CATIA v5 and v6.
  • Demonstrated ability to deliver analysis on difficult projects with tight timing constraints.

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