Algorithm Developer III

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

Salary: $161,000.00 - $221,000.00 Location: Santa Clara,CA You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.  At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .  About Rocket Rocket is a team within Applied dedicated to advancing and scaling rapid innovation methodologies across the organization. We focus on accelerating breakthrough technologies by combining deep scientific expertise, advanced computational methods, and practical engineering to solve complex challenges in semiconductor manufacturing.

Summary 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 Ideal Candidate Profile The ideal candidate possesses a strong foundation in theoretical and computational