Software Engineer – Semiconductor Process and Device Simulators

Job Title

Software Engineer – Semiconductor Process and Device Simulators

Role Summary

Join the Calibre R&D team to design and implement high-performance simulation and analysis software used in semiconductor process and device modeling. You will develop numerical methods, scalable solvers, and system-level infrastructure to enable high-throughput, accurate simulations for advanced technology nodes and packaging.

This role emphasizes scientific computing, HPC, GPU acceleration, and collaboration with domain experts to deliver production-quality tools for semiconductor manufacturing.

Experience Level

Mid-level; candidates are expected to have advanced technical experience in scientific computing and high-performance computing. The posting specifies PhD or equivalent experience (see Education Requirements for details).

Responsibilities

Deliver software and algorithms that enable scalable, high-fidelity semiconductor simulations.

• Design and implement numerical algorithms and PDE/linear solvers for process and device simulation.
• Develop and optimize code for distributed and GPU-accelerated execution.
• Integrate algorithms into production-grade software with CI/CD, regression testing, and release management.
• Collaborate with domain scientists and product teams to define requirements and validate results against physical models.
• Build tooling for large-data visualization and long-running simulation workflow management.
• Estimate development tasks, prioritize work, and deliver features on schedule.
• Contribute to performance tuning, scalability testing, and cloud/HPC deployment (e.g., SLURM).

Requirements

See Education Requirements for formal degree/experience expectations. The list below focuses on technical and practical must-have and nice-to-have skills.

• Must-have: Strong proficiency in C/C++ and Python; experience with CUDA or other GPU programming models.
• Experience with parallel and distributed programming (MPI, multi-threading) and performance optimization.
• Practical experience with numerical methods relevant to scientific computing (solvers, discretizations, numerical stability).
• Familiarity with Git-based workflows, CI/CD, automated regression testing, and software release processes.
• Ability to estimate tasks, debug complex numerical issues, and deliver reliable production software.
• Nice-to-have: Experience with GUI frameworks (Qt/QML, PySide), 3D scientific visualization, cloud execution, HPC schedulers (SLURM), and AI/ML surrogate modeling.

Education Requirements

PhD in Computer Science, Applied Mathematics, or Engineering (Electrical, Mechanical, Civil, etc.), or a Master’s degree plus 5+ years of research/industry experience. Fields of study include computer science, applied math, and related engineering disciplines. Equivalent practical experience is acceptable as described above.

About the Company

Company: Siemens

Headquarters: Munich, Germany

Siemens EDA is a leading global provider of Electronic Design Automation (EDA) products and systems. Their innovative solutions enable companies to enhance the development of electronic products efficiently and effectively, keeping pace with the complex demands of technology and physics. Siemens is committed to delivering advanced workflow solutions that integrate both EDA and MCAD tools for multi-domain design and manufacturing in the semiconductor industry.