AI/ML Algorithm Developer

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Workplace Type

Onsite

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Employee Type:

Assignee / Regular

Relocation Eligible:

No

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

No description available.

We are seeking a highly motivated and intellectually curious Algorithm Developer to work at the intersection of artificial intelligence and machine learning (AI/ML), theoretical physics, and systems engineering. In this role, you will drive the development of next-generation solutions for high-impact semiconductor manufacturing applications.

The successful candidate will contribute to multiple disruptive design initiatives by developing automated systems capable of ingesting and processing data from thousands of sensors, identifying critical physics-based relationships, and building predictive and control models. These solutions will leverage a hybrid approach that combines first-principles physics modeling with advanced machine learning techniques, including physics-informed neural networks (PINNs), to optimize complex manufacturing processes in real time.

* 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 combination of traditional physics-based methods and machine learning approaches. * 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 to accelerate innovation and technology deployment. * Contribute to the design and implementation of intelligent automation solutions for advanced semiconductor manufacturing processes. * Develop ML surrogates or reduced order models, based on rigorous physics simulations, including research, design, development and implementation & proliferation accompanying in accordance with project budgets and time schedules. * Optimize accuracy / performance tradeoffs, to retain achieve but speed execution of algorithm modules * Analyze large quantities of sensor and metrology data, and iteratively improve simulation and models to improve accuracy * Implement models and code for user facing applications, in control systems or dashboards * Maintain a clean and consistent code base, that can be extended by team