Siemens logo

Advanced Software Engineer - Semiconductor Digital Twin RnD

Siemens
Full-time
Remote friendly (Hsinchu, TW)
Worldwide
Level - Mid-Career

Role Overview

We are currently looking for an Advanced Software Engineer in Semiconductor Digital Twin RnD to join our team in Hsinchu, Taiwan. This role focuses on high-performance scientific computing applied to electronic design automation.

Position Summary

This position is dedicated to developing cutting-edge tools that support semiconductor manufacturing and enhance device performance across advanced technology nodes. You will work in a hybrid environment, engaging with both remote and onsite teams to innovate and deploy effective solutions.

Experience Level

This is a full-time, mid-career role requiring advanced academic qualifications and industry experience in a relevant field.

Key Responsibilities

  • Collaborate with industry leaders to create tools for accelerating semiconductor manufacturing processes.
  • Develop high-fidelity models and conduct simulations to offer significant performance improvements over traditional methods.
  • Integrate complex algorithms and high-performance computing techniques into software solutions.
  • Estimate and deliver software development tasks accurately within project timelines.
  • Work with a collaborative team to tackle advanced computing challenges.

Required Skills and Experience

Candidates must demonstrate strong expertise in scientific computing and programming, including:

  • PhD or MS with 3+ years of relevant experience in Computer Science, Applied Mathematics, or Engineering.
  • Proficiency in numerical algorithms, eigen/linear/PDE solvers, and distributed processing architectures.
  • Strong programming skills in languages such as C/C++, CUDA, and Python.
  • Experience with GPU acceleration and familiarity with AI/ML applications.
  • Knowledge in semiconductor processes is preferred but not mandatory.
  • Excellent problem-solving abilities and a collaborative mindset.

Education Requirements

PhD in a technical field or a Master’s degree combined with at least three years of relevant experience in industry or research settings.