Lam Research is looking to solve the biggest challenges in the semiconductor industry by driving innovation in the design and engineering of etch and deposition products.
Requirements
- Experience working with and modifying/extending large codebases written by others.
- Strong experience in AI/ML, including knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in programming languages such as Python and Java.
- Solid understanding of data structures and algorithms.
- Supportive knowledge in computational solid mechanics or CFD is highly desirable.
- Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
- Experience with high-performance computing (HPC) and parallel processing.
Responsibilities
- Collaborate with the modeling team to develop and implement machine learning models and algorithms.
- Assist in the design, development, and optimization of AI/ML solutions for various applications.
- Conduct data analysis, preprocessing, and feature engineering to support model development.
- Write and maintain high-quality code for AI/ML projects, ensuring efficiency and scalability.
- Apply knowledge of computational solid mechanics or CFD to enhance AI/ML models and simulations.
- Participate in research and development activities to explore new AI/ML techniques and methodologies.
- Document project progress, methodologies, and results for internal and external reporting.
Other
- Pursuing a BS or MS degree in Computer Science, Engineering, Applied Mathematics, or a related field.
- Ability to work full-time during summer.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to present technical information clearly.
- Lam offers a variety of work location models based on the needs of each role.
