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Research Engineer - Principal

ID pozice
515129
Zveřejněno od
23-Čvc-2026
Organizace
Digital Industries
Obor
Research & Development
Společnost
Siemens Electronic Design Automation (Korea) LLC
Úroveň zkušeností
S dlouholetou praxí v oboru
Typ pozice
Plný úvazek
Režim práce
Pouze na pracovišti
Druh smlouvy
Trvalý
Lokalita
  • Seongnam - Gyeonggi-do - Korejská republika
R&D Lead, OPC Modeling and Simulation Platform

Siemens EDA is a global technology leader in Electronic Design Automation software dedicated to the world of computer-aided design, 3D modeling, and simulation—helping innovative global manufacturers design better products, faster! With the resources of a large company and the energy of a software start-up, we have fun together while creating a world-class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

The Opportunity

We are seeking an experienced R&D Lead to guide the development of advanced OPC modeling and simulation technologies for semiconductor manufacturing. In this role, you will lead a talented engineering team, define technical direction, and drive the delivery of scalable modeling platforms, advanced user interfaces, high-performance distributed computing capabilities, and database-backed product workflows. You will work closely with product, engineering, research, and customer-facing teams to translate complex modeling challenges into robust software solutions that improve user experience and help customers achieve best-in-class results.

Required Qualifications

Demonstrated ability to lead an R&D team, with strong communication skills and in-depth technical expertise in modeling, simulation, and model-calibration workflows.
Proven experience working effectively in a cross-team and global environment, collaborating with engineering, product, customer-facing, and research teams across regions.
Strong hands-on experience in GUI development and user-experience improvement, including PyQt and web-based GUI technologies, especially for advanced modeling tools involving large-scale data visualization, interactive workflows, and 3D geometry rendering.
Strong knowledge of distributed computing architectures, with the ability to design and develop production-grade software that can scale across thousands of distributed compute nodes.
Strong knowledge of database technologies and practical production experience designing, integrating, and operating database-backed software systems.
Familiarity with Unix/Linux operating systems.
Strong programming experience in Python and C/C++ for production software development.
Advanced degree in Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related technical discipline is required.
Preferred Qualifications

Experience with ML infrastructure, model-training workflows, or scalable machine-learning platforms.
Experience with large-scale data processing, data pipelines, or high-performance data-management workflows.
Familiarity with TCL or other scripting/interface languages is preferred.