Staff Engineer, GPU/HPC - Semiconductor Manufacturing Simulation
SynopsysJob Title
Staff Engineer, GPU/HPC - Semiconductor Manufacturing Simulation
Role Summary
Develop production-grade, GPU-accelerated TCAD simulation engines used for semiconductor manufacturing R&D. Translate computational physics models into high-performance software that runs across distributed GPU clusters.
Work on a Zurich-based TCAD team at the intersection of applied physics, numerical methods, and high-performance computing to improve simulation throughput and fidelity for foundries and research labs.
Experience Level
Senior — role expects an experienced engineer. The posting specifies PhD plus 4+ years of industry experience.
Responsibilities
Primary technical responsibilities and deliverables:
- Design and implement GPU-optimized algorithms and data structures for nanoscale process simulation.
- Profile, benchmark, and tune compute kernels across memory hierarchies to maximize throughput and scalability.
- Deliver production-quality, robust code suitable for deployment across distributed GPU clusters.
- Define and drive multi-year technical roadmaps and architecture for large-scale simulation systems.
- Collaborate with TCAD domain experts to ensure numerical fidelity and correct physical modeling.
- Mentor engineers and contribute to adoption of GPU-accelerated workflows within the team and customers.
Requirements
Must-have technical skills and experience; followed by valued additions.
- Must-have: Strong modern C++ and CUDA experience; hands-on HPC/GPU programming.
- Must-have: Experience with MPI and parallel distributed computing.
- Must-have: Solid knowledge of numerical methods and scientific code optimization for performance.
- Must-have: Proven ability to architect and lead large-scale systems and deliver multi-year technical roadmaps.
- Must-have: Background in computational physics, 3D geometry, or scientific code optimization.
- Nice-to-have: Experience with direct-simulation Monte Carlo or other particle-based methods.
- Nice-to-have: Multiphysics, plasma, or semiconductor process simulation experience.
- Nice-to-have: Familiarity with platforms such as NVIDIA Omniverse, container runtimes, NVIDIA PhysicsNeMo, or Apollo.
Education Requirements
PhD in Computer Science, Engineering, or Applied Mathematics with 4+ years of industry experience (as stated). No alternative-equivalent education wording was provided.
About the Company
Company: Synopsys
Headquarters: Mountain View, California, USA
Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.
