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Siemens

Staff Engineer

1-5 Years
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  • Posted 14 days ago
  • Over 100 applicants
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Job Description

  • Design and implement algorithmic solutions within the mask data preparation and lithography systems modeling domains.
  • Contribute to the continuous enhancement of Siemens EDAs product lines through design reviews and technical innovations.
  • Collaborate effectively with multi-functional teams across different geographies and cultures.
  • Engage with co-workers and collaborators to improve product quality and drive technical excellence.
  • Provide technical consultation and drive improvements in product functionality.

Skills Required

  • Strong programming skills in C/C++ with deep expertise in object-oriented design.
  • Solid understanding of algorithms and data structures, with a strong theoretical background in algorithm analysis.
  • Experience with geometric data processing and computational geometry algorithms.
  • Proficiency in distributed computing environments.
  • Familiarity with modern software development methodologies such as Agile.

Desirable Technical Skills

  • Experience in developing EDA applications in the post-layout domain (e.g., Mask Data Preparation, Modeling).
  • Knowledge of model calibration tools or an understanding of the model calibration process in semiconductor manufacturing.
  • A solid base in computational mathematics and numerical methods (including non-linear optimization).
  • Experience in handling large layout/mask data in formats like OASIS, GDSII, MEBES, VSB.
  • Familiarity with parallel and distributed computing tools (e.g., Sun Grid Engine, LSF).
  • Experience with configuration management tools such as CVS.
  • Knowledge of Scrum methodologies and defect tracking tools like JIRA.

More Info

Job Type:
Employment Type:
Open to candidates from:
Indian

About Company

At Siemens India, we believe in transforming the everyday through innovation, technology, and sustainability. By pioneering digital transformation with AI, IoT, and automation, we optimize efficiency across industries.

Job ID: 110063297

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