AI/ML Algorithm Developer
Applied Materials7 days ago
Bengaluru, IndiaEntry Level
Responsibilities
- Design and develop scalable data pipelines for high-volume semiconductor manufacturing sensor data.
- Model physical relationships and develop predictive and control algorithms using physics-based and machine learning methods.
- Build maintainable software modules that integrate with manufacturing tools, control systems, and dashboards.
- Develop physics-based ML surrogates and reduced-order models and optimize algorithm accuracy and execution speed.
- Analyze sensor and metrology data, improve simulations and models, and implement intelligent automation solutions.
- Collaborate with physics, engineering, software, and data science teams to deploy technologies for advanced manufacturing.
Requirements
- Ph.D. in Physics, Applied Mathematics, Computational Chemistry, Electrical Engineering, Mechanical Engineering, or a related quantitative discipline, or a relevant master’s degree with at least two years of industry or research experience.
- Deep expertise in theoretical physics, applied mathematics, computational science, simulation-driven engineering, or a related field.
- Working knowledge of machine learning, data science, and statistical modeling techniques.
- Strong software engineering skills and the ability to produce clean, scalable, production-ready code.
- Experience with computational methods, computer-aided engineering, engineering simulation, physical modeling, or complex-systems analysis is preferred.
- Experience applying machine learning to scientific, engineering, or industrial problems is preferred.
- Interest in sensors, instrumentation, hardware systems, robotics, or technologies connecting software with physical systems is preferred.
- Evidence of high-quality technical work through GitHub repositories, open-source contributions, publications, or equivalent work is preferred.
Benefits
- Full-time regular employment in Bangalore, India.
- Supportive culture with learning, development, and professional growth opportunities.
- Health and wellbeing programs and support.
- Relocation is not available.
Categories
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.