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, implement, and optimize high-fidelity simulation and diagnostic tools for semiconductor process and device modeling. Work on numerical solvers, high-performance computing, GPU acceleration, AI/ML surrogates, and visualization to support advanced-node manufacturing and high-volume production.

Experience Level

Mid-level; typically 3–7 years of relevant research or software development experience. Candidates with advanced research backgrounds and several years of industry experience are preferred.

Responsibilities

Own development and delivery of high-performance simulation components and supporting infrastructure.

• Research, design, and implement numerical algorithms and solvers for process and device simulation (FEM/FD/FVM/BEM, linear/PDE solvers, optimization).
• Develop and optimize code in C/C++ and CUDA for CPU and GPU execution; integrate Python-based tooling and workflows.
• Implement distributed and HPC solutions using MPI and cluster schedulers; enable cloud execution where appropriate.
• Integrate AI/ML surrogate models and statistical methods to accelerate simulations and analyses.
• Build and maintain software infrastructure: Git-based CI/CD, automated regression testing, library dependency and release management.
• Create visualization and GUI components for large datasets and long-running simulation workflows.
• Collaborate with cross-functional teams, estimate development tasks, and deliver production-quality software on schedule.

Requirements

Must-have technical skills and attributes.

• Proficiency in C/C++ and Python; experience with CUDA and GPU programming.
• Experience implementing numerical methods and solvers for PDEs, linear systems, eigenproblems, or related scientific-computing tasks.
• Experience with distributed processing and MPI; familiarity with HPC environments and job schedulers.
• Practical software-engineering skills: Git, CI/CD pipelines, automated testing, dependency management, and release processes.
• Strong problem-solving skills and ability to deliver on schedule; collaborative team mindset.
• Ability to estimate development tasks and participate in cross-team design and code reviews.

Nice-to-have:

• Experience with GUI frameworks (Qt/QML, PySide) and 3D scientific visualization or large-dataset rendering.
• Familiarity with SLURM, cloud execution platforms, Monte Carlo methods, computational geometry, and convex optimization.
• Experience applying AI/ML techniques as surrogate models for simulation acceleration.

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 listed include Computer Science, Applied Mathematics, and related engineering disciplines; equivalent practical experience is considered.

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.