As a core member of the team you will be responsible for the development deployment and maintenance of automated workflows for model creation meshing simulation execution results processing and report generation using Python and FEA software FEA solvers (ANSYS ANSA Abaqus or similar software) to create seamless automated simulation and implement automated validation procedures to ensure the accuracy and reliability of simulation simulation workflows for performance and scalability enabling efficient execution of large-scale and maintain simulation workflows scripts and and validate Finite Element Analysis (FEA) models for simulating a wide range of physical phenomena including but not limited to: structural mechanics thermal analysis fluid dynamics and electromagnetic simulation results with physical test data to validate models and improve simulation the use of machine learning techniques to develop predictive models based on simulation data and test up-to-date with the latest advancements in simulation techniques material modeling scripting languages FEA software APIs and relevant machine learning simulation results workflow improvements and recommendations to engineering teams and management.
Masters degree in Mechanical Engineering or a related field along with 3 years of relevant industry experience.
Expertise in Finite Element Analysis and computational mechanics.
At least 3 years of experience with at least one FEA software package: ANSYS ANSA Abaqus and or related software.
Fluency in Python.
Proficiency with Linux.
Strong understanding of engineering principles including mechanics heat transfer and fluid dynamics.
Knowledge of or willingness to learn and work in the electromagnetics domain.
Significant experience with FEA software APIs for model creation customization and workflow automation.
Proficiency in Python for automation and data analysis.
Experience with web frameworks and services.
Experience with version control systems (e.g. Git) for managing simulation scripts and models.
Excellent analytical and problem-solving skills with a focus on process optimization.
Experience with machine learning concepts and libraries.
Strong communication and presentation skills.
Self-motivated to identify areas for improvement and drive innovation
Ability to work independently and as a part of a cross-functional team.
Desire to work in a fast-paced environment with passion for creating cutting edge products.
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