New College Grad - Algorithm Developer III - PhD (Winter 2026 Start)
Applied Materials1 day ago
Base Salary
$161k - $221k/yr
Responsibilities
- Design scalable data pipelines for high-volume sensor data from semiconductor manufacturing systems.
- Model physical relationships and develop predictive and control algorithms using physics-based and machine learning methods.
- Develop ML surrogates and reduced-order models based on physics simulations.
- Build maintainable software modules and integrate models into manufacturing tools, control systems, and dashboards.
- Analyze sensor and metrology data and improve model accuracy, performance, and execution speed.
- Collaborate with physics, engineering, software, and data science teams to deploy intelligent automation solutions.
Requirements
- Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline; alternatively, a master’s degree in one of these fields plus at least two years of relevant industry or research experience.
- Strong expertise in theoretical physics, applied mathematics, computational science, or simulation-driven engineering.
- Working knowledge of machine learning, data science, and statistical modeling.
- Strong software engineering ability with experience translating complex algorithms into clean, scalable, production-ready code.
- Experience with computational methods, computer-aided engineering, engineering simulation, physical modeling, complex systems, or machine learning applied to scientific, engineering, or industrial problems is preferred.
- Interest or experience in sensors, instrumentation, hardware systems, robotics, or physical-world applications is preferred.
- Public GitHub repositories, open-source contributions, peer-reviewed publications, or equivalent technical work demonstrating high-quality code are preferred.
Benefits
- Comprehensive benefits and programs supporting employee health, wellbeing, learning, and professional growth.
- Full-time employment with a November 2026-February 2027 preferred start window.
- Relocation eligible; 10% travel required.
- Potential eligibility for bonus and stock award programs, as applicable.
Categories
Data EngineeringML Engineering
About Applied Materials
Applied Materials builds semiconductor and display manufacturing equipment and related materials engineering technologies used by chip and flat-panel makers. It sells capital tools, process technology, and lifecycle services and software to support high-volume wafer fabrication and display production worldwide. Founded in 1967 and headquartered in Santa Clara, California, the company is publicly traded on NASDAQ under the ticker AMAT.