Ph3Overview /h3 pbWe Are Synopsys /b is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their RD capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. /p pbYou Are /b You bring deep expertise in high-performance computing and computational physics, translating complex physical models into production-grade, GPU-accelerated software. You contributed to scalable systems across distributed GPU clusters, with strong understanding of memory hierarchies and robust, trusted code for critical applications. /p pYour work will accelerate simulations, and enable more confident decisions in semiconductor fabrication. At Synopsys, you will develop TCAD simulation engines used globally—directly shaping how next-generation semiconductor technologies are designed and brought to life. /p h3What You\'ll Be Doing /h3 ul liDesign and implement GPU optimized algorithms and data structures for nano scale process simulation. /li liProfile, benchmark, and tune kernels across memory hierarchies to achieve state of the art throughput and scalability. /li /ul h3The Impact You Will Have /h3 ul liAccelerate semiconductor process development cycles at top-tier foundries by delivering order-of-magnitude simulation speedups through GPU optimization /li liInfluence real fabrication decisions at leading manufacturers by providing faster, more accurate simulation results /li liDrive adoption of GPU-accelerated workflows across the semiconductor industry, setting new performance benchmarks for manufacturing simulation /li /ul h3What You\'ll Need /h3 ul liPhD in Computer Science, Engineering, or Applied Mathematics with 4+ years industry experience /li liStrong modern C++, CUDA, MPI and numerical methods with hands-on experience in HPC or GPU programming /li liBackground in computational physics, 3D geometry, or scientific code optimization /li liProven ability to architect and lead large-scale systems and deliver multi-year technical roadmaps /li liExperience with direct-simulation Monte Carlo or other particle-based methods is a plus /li liMultiphysics, plasma, or semiconductor process simulation experience is valued /li liExperience with platforms such as NVIDIA Omniverse, container runtime, NVIDIA PhysicsNeMo, or Apollo is a plus /li /ul h3The Team You\'ll Be Part Of /h3 pYou will join the TCAD team in Zurich, working on GPU-accelerated simulation engines that power semiconductor manufacturing RD at leading foundries and research labs worldwide. The team operates at the intersection of applied physics, numerical methods, and high-performance computing, building tools that directly influence how next-generation chips are fabricated. /p h3Rewards And Benefits /h3 pWe offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. /p /p #J-18808-Ljbffr