R&D Engineering, Sr Engineer_RC extraction
Location: Taipei, Taiwan
In this R&D role, you will design and develop core technologies that power advanced‑node parasitic RC extraction, process effects, and high‑performance numerical solvers. You will work on foundational algorithms, physics‑based models, and large‑scale computational frameworks that enable accurate, scalable extraction for complex SoCs, 3DIC systems, and cutting‑edge process nodes.
What You’ll Be Doing
- Develop and enhance algorithms for resistance, capacitance, and coupling extraction.
- Model and integrate process‑dependent effects (e.g., etch bias, line end extension, thickness variation) into extraction frameworks to ensure signoff‑grade accuracy.
- Build and optimize numerical solvers—iterative methods, preconditioners, and low‑rank approximations—with high performance and numerical stability.
- Profile, debug, and tune solver performance using multithreading, memory‑hierarchy optimization, and parallel execution strategies.
The Impact You Will Have
- Improve accuracy, robustness, and process awareness of extraction results across advanced technology nodes.
- Shape the architecture and direction of next‑generation extraction engines and solver frameworks.
- Achieve meaningful runtime, memory, and scalability gains that directly accelerate signoff flows for top semiconductor customers.
- Enable industry‑leading chip designs—AI accelerators, mobile processors, HPC systems—by providing reliable and efficient parasitic modeling technology.
What You’ll Need
- MS/PhD in EE, CE, CS, Applied Math, Physics, or related field.
- Strong proficiency in modern C++, algorithms, data structures, and large‑scale software development.
- Understanding of RC extraction physics, interconnect modeling, and advanced‑node parasitic behavior.
- Understanding of numerical linear algebra, sparse matrices, iterative solvers, and numerical stability concepts.
- Experience with parallel programming, and performance profiling tools.
- Familiarity with Linux development workflows; scripting in Python/TCL is a plus; experienced with StarRC is a plus.
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