TCAD Researcher/Software Developer

Job Title

TCAD Researcher / Software Developer

Role Summary

Join the Calibre R&D team to design and implement high-performance simulation and modeling software for semiconductor manufacturing and device physics. Work on numerical algorithms, scalable solvers, GPU-accelerated implementations and AI/ML surrogate models to enable high-throughput, high-fidelity simulations for advanced technology nodes.

Experience Level

Mid-level (experienced researcher/software developer). Typically requires multiple years of research or industry experience (often 5+ years of relevant experience).

Responsibilities

Develop, optimize, and maintain simulation software and related tooling.

• Design and implement numerical algorithms and solvers (FEM/FD/FVM/BEM, linear/PDE/eigen solvers).
• Develop parallel and high-performance code: distributed processing, MPI, GPU/CUDA acceleration.
• Integrate AI/ML surrogate models to accelerate simulation workflows.
• Implement software engineering best practices: Git-based CI/CD, automated regression testing, release management.
• Build and maintain cross-platform GUIs and visualization pipelines for large scientific datasets.
• Profile and optimize code for throughput and scalability on HPC and cloud platforms.
• Collaborate with product and research teams, estimate development tasks, and deliver on schedule.

Requirements

Core technical skills and attributes required for the role.

• Proficiency in C/C++ and Python for scientific and systems programming.
• Experience with numerical methods for scientific computing and solver development.
• Hands-on experience with HPC technologies: MPI, GPU acceleration, CUDA ecosystems.
• Familiarity with software engineering workflows: Git, CI/CD, automated testing, and release management.
• Ability to estimate development work, deliver on schedules, and work collaboratively in teams.
• Strong problem-solving skills for complex computational challenges.

Nice-to-have:

• Experience with SLURM or other HPC schedulers and cloud execution environments.
• Experience with GUI frameworks (Qt/QML, PySide) and 3D scientific visualization.
• Familiarity with Monte Carlo methods, computational geometry, or advanced statistical methods.
• Prior work integrating AI/ML surrogate models into simulation pipelines.

Education Requirements

PhD in Computer Science, Applied Mathematics, or Engineering; or MS plus 5+ years of research or industry experience in related fields (Electrical, Mechanical, Civil, etc.).

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.