AI/ML Algorithm Developer
Applied Materials · Posted Oct 15
Semiconductor equipment, display manufacturing systems, and materials engineering solutions
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About the role
Rocket is a team within Applied Materials dedicated to advancing and scaling rapid innovation methodologies across the organization, combining deep scientific expertise, advanced computational methods, and practical engineering to solve complex challenges in semiconductor manufacturing. The role sits at the intersection of artificial intelligence and machine learning (AI/ML), theoretical physics, and systems engineering. The Algorithm Developer will build automated systems that ingest and process data from thousands of sensors, identify physics-based relationships, and develop predictive and control models using hybrid first-principles physics modeling and advanced machine learning such as physics-informed neural networks (PINNs).
What you will do
- 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
Skills used in this role
What the employer is looking for
- 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.
Preferred qualifications
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Applied Materials
Applied Materials, Inc. is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. The company designs, builds, and services cutting-edge equipment that enables manufacturers to create semiconductor and display chips essential for modern electronics and AI infrastructure. Through its extensive portfolio of deposition, etch, and planarization systems, Applied Materials serves as a foundational pillar of the global semiconductor industry.
- Industry
- Semiconductor Equipment
- Company size
- 36500+ employees
- Founded
- 1967
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $1.5B raised
Leadership
President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Technology Officer
Senior Vice President, Chief Legal Officer and Corporate Secretary
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