Chemistry Scientist Jobs at Applied Materials | Chemistry Jobs
Looking for advanced Chemistry Jobs with a global technology leader? Applied Materials Careers has announced an exciting opportunity for a Computational Materials and Chemistry Scientist in Bengaluru. This role is ideal for professionals passionate about materials engineering, computational chemistry, machine learning, and semiconductor innovation. If you are seeking rewarding Chemical Science Careers and want to work on next-generation technologies that power AI, IoT, and advanced electronics, this opportunity offers an exceptional career path.
About Applied Materials
Applied Materials is a global leader in materials engineering solutions used to manufacture virtually every advanced semiconductor chip and display technology in the world. The company develops cutting-edge equipment and innovative technologies that enable breakthroughs in electronics, artificial intelligence, and connected devices. Through continuous research and innovation, Applied Materials empowers scientists and engineers to solve complex challenges while building technologies that shape the future of the global electronics industry.
Job Overview
Applied Materials Careers is hiring a Computational Materials and Chemistry Scientist for its Bengaluru location. This Chemistry Scientist role focuses on computational materials design, molecular modeling, machine learning applications, and advanced chemistry research. The selected candidate will work on polymer modeling, precursor design, ALD
and CVD chemistry, molecular simulations, and data-driven materials discovery. This position provides an excellent opportunity for professionals pursuing Chemical Science Careers and high-impact Chemistry Jobs within the semiconductor and advanced materials sector.- Job Post: Computational Materials and Chemistry Scientist
- Job ID: R2615548
- Location: Bengaluru, Karnataka
Key Responsibilities:
- Chemistry and materials design for screening and optimization applications with special emphasis on at least one of the following areas: polymeric materials formation and viscosity, precursor design for purity of deposition, ALD and CVD reactions of molecules in the gas phase and on surfaces
- Recommend atomic-scale changes to structure and/or processing conditions to influence observed properties
- Scope the diverse cutting-edge materials and chemistry discovery tools on the market for potential future value and prioritize what methods warrant further exploration
- Evaluate a variety of MLIPs for validation, required property prediction, and potential extension to fine-tuning of MLIP’s for increased accuracy.
- Explore various molecule and chemistry-focused featurization and ML to determine which can add practical value to drive R&D
- Hypothesize and test mechanisms to determine the root cause of observed behavior
- Work effectively with external vendor software providers in testing new features and functionality of new products
- Work effectively with internal multi-disciplinary teams of experimentalists, modelers, and computing infrastructure support teams
- Demonstrate analytical and engineering judgment to scope and assess the appropriate level of model required
- Proactively validate/correlate results with real-world data to improve models
- Present complex, in-depth technical material in a concise manner
- Advocate for the power of modeling while also communicating limitations
- Serve as a business unit chemistry, materials, or physics expert
- Provide parameters, inputs, and/or guidance for higher-level process, feature, and reactor models
Background/Skills:
- Extensive experience with First Principles/Ab-initio/Density Functional Theory (local orbital and plane wave), Molecular Dynamics, and/or Monte Carlo methods
- Extensive experience with machine learning interatomic potentials, both at the training stage and inference stage. Experience with both universal and focused approaches a plus.
- Experience with polymer modeling workflows from polymer structure creation, including branching and cross-linking to property prediction, especially with a focus on non-C-based polymers
- Experience with ML/AI tools (PyTorch, scikitLearn, Chemprop, SMILES, RDKit, LLM, GNN, etc.), scripting (Python, Linux), programming (C, Fortran, etc.), and databases (SQL, MongoDB, etc.)
- Knowledge of informatics, artificial intelligence, machine learning, and data science approaches
This Computational Materials and Chemistry Scientist opportunity through Applied Materials Careers is an outstanding choice for professionals seeking cutting-edge Chemical Science Careers and advanced Chemistry Jobs. The role offers exposure to computational chemistry, machine learning, materials engineering, and semiconductor innovation while working alongside global experts. If you are passionate about scientific discovery, advanced modeling, and technology development, this position can provide a strong platform for long-term career growth and industry impact.
