AI/ML Algorithm Developer

About the role

Applied Materials is seeking a highly motivated Algorithm Developer to work at the intersection of artificial intelligence, machine learning, theoretical physics, and systems engineering. The role focuses on creating next‑generation solutions for high‑impact semiconductor manufacturing applications.

Key responsibilities

• Design and develop scalable data pipelines to collect, process, and analyze high‑volume sensor data from semiconductor manufacturing systems.
• Identify and model underlying physical relationships governing complex process behavior.
• Develop predictive and control algorithms using a hybrid of physics‑based methods and machine learning techniques, including physics‑informed neural networks (PINNs).
• Build robust, maintainable software modules that integrate directly with real‑world manufacturing tools and systems.
• Collaborate with multidisciplinary teams spanning physics, engineering, software development, and data science.

Required profile

• Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical or Mechanical Engineering, or a related quantitative discipline (or a Master’s with 2+ years relevant experience).
• Strong foundation in theoretical physics, applied mathematics, or computational science.
• Practical software engineering skills with ability to produce clean, scalable, production‑ready code.
• Experience applying machine learning to scientific or engineering problems.

Required skills

• Machine learning techniques and statistical modeling.
• Physics‑informed neural networks (PINNs).
• Data pipeline development for high‑volume sensor data.
• Software development for integration with manufacturing tools.

What we offer

• Supportive work culture encouraging learning, development, and career growth.
• Opportunities to work on cutting‑edge semiconductor manufacturing challenges.
• Comprehensive health and wellbeing programs.