AI Algorithm Engineer for Semiconductor Process Optimization

Applied Materials; Santa Clara (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Applied Materials in Santa Clara is seeking an AI Algorithm Developer to design and implement machine learning algorithms aimed at optimizing semiconductor manufacturing processes. This role calls for expertise in deep learning alongside a solid computer science foundation and best software engineering practices.

The ideal candidate should possess a keen understanding of algorithms, clean coding practices, and a critical approach to problem-solving in a collaborative environment with domain experts.

Qualifications

• Strong understanding of algorithms, data structures, and computational complexity.
• Expert-level Python programming.
• Deep learning expertise with neural network architecture.

Responsibilities

• Design and implement deep learning models for semiconductor process optimization.
• Write clean, maintainable, scalable code following software engineering best practices.
• Translate semiconductor manufacturing challenges into well-defined ML problems.

Skills

Expert-level Python programming

Deep learning expertise

Algorithm understanding

Critical thinking

Clean code practices

Education

MS or PhD in Computer Science, Applied Mathematics, Electrical Engineering, or related field

Job description

Applied Materials in Santa Clara is seeking an AI Algorithm Developer to design and implement machine learning algorithms aimed at optimizing semiconductor manufacturing processes. This role calls for expertise in deep learning alongside a solid computer science foundation and best software engineering practices.

The ideal candidate should possess a keen understanding of algorithms, clean coding practices, and a critical approach to problem-solving in a collaborative environment with domain experts.