GPU R&D Engineer - CUDA Programming
SynopsysJob Title
GPU R&D Engineer - CUDA Programming
Role Summary
The GPU R&D Engineer will focus on optimizing GPU implementations for advanced lithography software, primarily utilizing CUDA programming. The role involves collaborating within a dynamic team while driving innovations in GPU algorithm design to enhance semiconductor manufacturing processes.
Experience Level
Senior level, requiring at least 7 years of relevant experience.
Responsibilities
The key responsibilities of this role include:
- Optimizing and enhancing existing GPU implementations for ILT software.
- Designing and developing new GPU-accelerated algorithms for large-scale data handling.
- Collaborating with cross-functional teams to integrate advanced GPU features.
- Leading benchmarking and performance testing for GPU algorithms.
- Conducting research on GPU technology advancements.
- Interfacing with customers and hardware vendors to deliver effective solutions.
Requirements
Must-have qualifications include:
- Advanced knowledge of CUDA or similar GPU technologies.
- Proficiency in C/C++ and Python.
- Strong understanding of algorithms and data structures.
- Experience with computational geometry algorithms.
- Background in Optical Proximity Correction and Inverse Lithography Technology.
Education Requirements
Bachelor’s, Master’s, or Ph.D. in Computer Science or related field.
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.
