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Finite Element Analysis Specialist

2 months ago

Cupertino, California, United States eTeam Full time

Position: Software Engineer/Finite Element Analysis Engineer

Contract Duration: 06 Months (Potential for Extension)

Work Arrangement: Hybrid

Overview:

We are looking for a talented engineer to assist in product development and finite element analysis (FEA) innovation. The successful candidate will possess a robust understanding of FEA methodologies alongside contemporary machine learning techniques. Experience in designing and training machine learning models, as well as a history of implementing these models in applicable scenarios such as computer vision, is essential. Responsibilities will include processing FEA data, organizing datasets, overseeing the lifecycle of machine learning models, documenting processes, and collaborating with various teams.

Key Responsibilities:

  • Construct data pipelines to convert simulation outputs into machine learning datasets.
  • Integrate machine learning models into production environments, ensuring compatibility with existing systems.
  • Explore innovative algorithms and tools to improve model efficacy.
  • Develop comprehensive documentation detailing data processing, model architecture, and results from training and testing.
  • Deliver regular updates and reports on progress.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Mechanical Engineering, or a related discipline.
  • A Master's degree or higher is preferred, with a Ph.D. being a significant advantage.

Essential Skills:

  • Expertise in Python programming.
  • Extensive experience with machine learning frameworks and libraries such as PyTorch or TensorFlow.
  • In-depth knowledge of finite element analysis, including element technologies and material models.
  • Strong grasp of deep learning architectures, including CNNs, RNNs, and transformers.
  • Practical experience with large-scale data processing and analysis.

Desirable Skills:

  • Experience in specific machine learning applications, particularly in computer vision.
  • Familiarity with FEA software (e.g., Abaqus) and scripting capabilities.
  • Experience utilizing cloud platforms (e.g., AWS, Google Cloud) for model training and deployment.
  • Knowledge of code collaboration and version control systems (e.g., Git).

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