Vehicle Attribute Engineer, Multi-Physics, CAE
Fremont (Alameda County) Design / Civil engineering / Industrial engineering
Job description
Description
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:
Responsibilities
· 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.
Desired profile
Requirements
· 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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