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Software Development Engineer - Terramechanics/computational Mechanics

Develop software algorithms for computational mechanics and finite element methods in vehicle simulations.
Ann Arbor, Michigan, United StatesMountain View, California, United StatesDetroit, Michigan, United StatesWashington, D.C., United StatesStuttgart, GermanyMunich, GermanyStockholm, SwedenSeoul, South KoreaTokyo, Japan
Mid-Level
1 month ago
Applied Intuition

Applied Intuition

Software solutions to safely develop, test, and deploy autonomous systems at scale

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✨ About The Role

- The role involves interfacing with technical domain experts to make changes to physics, parameters, or simulation results. - The candidate will be responsible for running and interpreting regression tests to assess the effects of changes made. - Refactoring and optimizing code for long-term maintainability and performance improvements will be a key responsibility. - The job requires diagnosing code that does not produce the desired results and determining documentation for design changes. - Collaboration with team members to educate and work on the inner workings of VehicleSim Math Models is expected.

âš¡ Requirements

- A successful candidate will have a bachelor's degree in Mechanical Engineering, Applied Physics, Computer Science, or a related area, along with at least 5 years of relevant experience. - The ideal candidate will possess experience in designing and implementing software algorithms specifically for computational mechanics and finite element methods. - Proficiency in programming languages such as C/C++ is essential for this role. - Familiarity with tire models and terramechanics will be considered a valuable asset. - The candidate should have a strong background in simulation tools for mechanical systems and high-performance computing techniques.
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Software Development Engineer - Terramechanics/computational Mechanics
Ann Arbor, Michigan, United States
Software
About Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale