Senior Algorithm Engineer – AI/ML for Semiconductors

Applied Materials; Santa Clara (CA); On-site; USD 161,000 - 221,000; Full time

Job summary

Applied Materials is seeking an Algorithm Developer to advance AI/ML methods for semiconductor manufacturing. You will merge first-principles physics with machine learning to model sensor data and build predictive control systems.

The role spans data pipelines, physical modeling, and software engineering, requiring strong ML knowledge and production-grade coding skills. Global impact and rapid innovation define the work culture.

Qualifications

• PhD in Physics, Applied Mathematics, Computational Chemistry, Electrical/Mechanical Engineering, or related field, or
• MS with at least 2 years of relevant experience in industry or research.

Responsibilities

• Design scalable data pipelines to collect, process, and analyze high-volume sensor data.
• Model underlying physical relationships governing complex process behavior.
• Develop ML-based predictive and control algorithms.
• Build production-ready software modules that integrate with real-world manufacturing tools.
• Collaborate with physics, engineering, software, and data science teams to accelerate innovation.

Skills

Theoretical physics

Machine learning

Software engineering

Data analysis

Education

PhD in Physics/Applied Mathematics/Computational disciplines

MS in a quantitative field + 2 years experience

Tools

Python

Git/GitHub

TensorFlow/PyTorch

Job description

Applied Materials is seeking an Algorithm Developer to advance AI/ML methods for semiconductor manufacturing. You will merge first-principles physics with machine learning to model sensor data and build predictive control systems.

The role spans data pipelines, physical modeling, and software engineering, requiring strong ML knowledge and production-grade coding skills. Global impact and rapid innovation define the work culture.