Software Engineer - scientific computing and computational geometry

You are a passionate and experienced professional with a strong background in scientific computing and computational geometry. You possess advanced knowledge in physics-related modeling algorithms and are proficient in C++ software development. You have a keen interest in semiconductor technologies and are eager to work on cutting-edge 3D technology modeling software. You are a collaborative team player who enjoys working in an international environment and are committed to continuous learning and innovation. In this role, you will be responsible for specifying, developing, and implementing features, models, and infrastructures for new and existing products related to semiconductor manufacturing processes. You will also work on novel numerical recipes and numerical performance optimization. Additionally, you will support and assist evaluation projects and activities involving the creation of working prototypes for proof of concepts and feasibility studies. You will closely interact with support and application teams dealing with large customers in modeling, calibration, and production for requirements and specifications development. Collaboration with other developers to improve and expand the team's technical skillset will be an essential part of your responsibilities. Furthermore, you will independently familiarize yourself with new technologies and industry trends. To qualify for this position, you should have an MS/PhD in Electrical Engineering, Physics, Materials Sciences, Software Engineering, or equivalent from a reputed institution. You should also have 5+ years of experience in C++ software development with expertise in scientific computing and computational geometry. Knowledge of physics-related modeling algorithms such as level set, kinetics Monte Carlo method, or Lattice Boltzmann methods is essential. Strong C++17/20 skills and functional programming methods, with a solid understanding of data structures and algorithms are required. Experience with software engineering practices, including writing testable software and managing large code bases, will be beneficial for this role.,