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# Algorithm Developer III

- **Company:** Applied Materials
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $161,000.0 - $221,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Systems Engineering, Computer Simulation, Github, Machine Learning, Software Engineering, Product Software Implementation Methods, Computer Aided Engineering (CAE), Production Code, Free and Open-Source Software, Data Pipelines
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=23534bae8173bfd7

## About the Role

The ideal candidate possesses a strong foundation in theoretical and computational disciplines, coupled with practical software development expertise. You are passionate about applying scientific principles to solve real-world engineering challenges and are equally comfortable moving between mathematical modeling, machine learning, and software implementation., * Deep expertise in one or more areas of theoretical physics, applied mathematics, computational science, or simulation-driven engineering.

 * Working knowledge of modern machine learning, data science, and statistical modeling techniques.
 * Strong software engineering capabilities, including the ability to translate complex algorithms into clean, scalable, and production-ready code.
 * A practical mindset focused on delivering solutions that interact with and control physical systems in real-world environments., * Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline, or
 * Master's degree in one of the above fields with a minimum of 2 years of relevant industry or research experience ., * Demonstrated ability to develop high-quality, maintainable code, evidenced through public GitHub repositories, open-source contributions, peer-reviewed publications, or equivalent technical work.
 * Experience with computational methods, computer-aided engineering (CAE), engineering simulation, physical modeling, or the analysis of complex systems, with a focus on practical and impactful outcomes.
 * Experience applying machine learning techniques to scientific, engineering, or industrial problems.
 * Strong interest in sensors, instrumentation, hardware systems, robotics, or other technologies that bridge software with physical-world applications.
 * Proven ability to work effectively in interdisciplinary environments and solve ambiguous, complex technical problems.

## Description

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., * 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