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Battery Finite Element Analysis Engineer
Job in
Mountain View, Santa Clara County, California, 94039, USA
Listed on 2026-06-23
Listing for:
Google
Full Time
position Listed on 2026-06-23
Job specializations:
-
Engineering
Mechanical Engineer, Electrical Engineering
Job Description & How to Apply Below
Minimum qualifications:
- Bachelor's degree in Mechanical Engineering, Product Design, Electrical Engineering, a related field, or equivalent practical experience.
- 4 years of experience using finite element analysis (FEA) tools in a product development environment, including Abaqus, LS-DYNA, or Hyper Works.
- Experience in test development, execution, and analysis, for material model development and model validation.
- Experience in finite element theory and material constitutive models, in both elasticity and plasticity, static and dynamic load cases with deformation.
- Master's or PhD degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Physics, or a related field.
- Proficiency in Siemens NX, Solid Works, or similar drafting software.
- Proficiency in thermal simulation tools (e.g., Ansys-Fluent, Comsol).
- Understanding of mechanical characterization principles and techniques relevant to battery materials and structures.
- Understanding of the internal cell structure and manufacturing process.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
US: $150,000 - $218,000 (USD) + 15% bonus target + bonus + equity + benefits.
Responsibilities:- Develop and maintain battery level structural simulations, for both cell and pack.
- Provide design recommendations to improve battery design, process, and its integration.
- Coordinate test and validation activities for battery and components.
- Use FEA tools to enhance understandings of battery cell and pack behaviors in devices, in both static and dynamic cases.
- Support root cause analyses for battery manufacturing or reliability failures.
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