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Tier-1 employer, metro Bangalore location, and mid-level (3-5yr) role increase competition.
Highly domain-specific molecular modeling and semiconductor process knowledge limits cross-industry transferability.
Explicit degree bands and niche MD/DFT/forcefield skills raise shortlisting strictness.
Develop and simulate atomistic and phenomenological models for multi-species gas/liquid transport and reaction kinetics in semiconductor processes.
Collaborate globally with engineering teams to translate product/process challenges into modeling projects and deliver results.
Establish and document new modeling protocols as Best Known Methods for product development teams.
PhD with 1-2 years or Masters with 3-5 years of industrial experience in relevant fields.
Strong expertise in molecular modeling techniques including molecular dynamics and Monte Carlo methods.
Proficiency in programming languages like Python for large data post-processing.
Work Location: Based in Bangalore; hybrid work models mentioned but no strict onsite requirement specified.
Experienced in physics-based modeling within semiconductor equipment or related industries involving atomistic scale simulations.
Capable of operating effectively in a matrix, global team environment interfacing with multiple business units.
Skilled in applying AI/ML methods to enhance molecular dynamics simulations and integrating multi-physics approaches.