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 diagnostic software for semiconductor process and device modeling. You will develop numerical algorithms, scalable solvers, and accelerated execution paths to enable high-fidelity, high-throughput simulation for advanced technology nodes.

This role involves collaborating with domain experts and product teams to deliver production-quality software used in semiconductor manufacturing workflows.

Experience Level

Mid-level - typically candidates with ~5+ years of relevant research or industry experience; advanced degree holders (PhD) are preferred.

Responsibilities

Key responsibilities include software development, numerical algorithm implementation, and performance engineering for simulation tools:

• Design and implement numerical methods and PDE/linear solvers for process and device simulation.
• Develop and optimize high-performance code for distributed and GPU-accelerated execution.
• Integrate ML/AI surrogate models where they accelerate workflows and reduce runtimes.
• Implement CI/CD, automated regression testing, and manage library dependencies for reliable releases.
• Work with product and domain experts to validate models, reproduce results, and support customer use cases.
• Profile and optimize performance across CPU/GPU/cloud/HPC environments and job schedulers.
• Produce technical documentation, tests, and long-running simulation workflow management.

Requirements

Technical must-haves and useful complementary skills.

• Must-have: Proficiency in C/C++ and Python; experience with CUDA or other GPU programming.
• Must-have: Hands-on experience with high-performance computing: MPI or distributed processing, performance profiling, and parallelization techniques.
• Must-have: Practical experience implementing numerical algorithms, solvers, or computational geometry in production code.
• Must-have: Familiarity with Git-based workflows, CI/CD, automated regression testing, and release management.
• Nice-to-have: Experience with SLURM or HPC schedulers, cloud execution, and large-dataset visualization.
• Nice-to-have: GUI and visualization frameworks (Qt/QML, PySide), 3D rendering pipelines, and ML/AI model integration.
• Attributes: Strong problem-solving, accurate task estimation, and effective cross-functional collaboration.

Education Requirements

PhD in Computer Science, Applied Mathematics, or Engineering (Electrical, Mechanical, Civil, etc.), or a Master’s degree plus 5+ years of relevant research or industry experience.

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.