Description
You will join the Meshing Development Unit (MDU), a dynamic group of expert professionals dedicated to advancing mesh generation and geometry processing solutions.
As a Senior R&D Engineer, you will design, implement, and maintain advanced algorithms for mesh generation and discrete geometry processing, leveraging AI technologies.
Key responsibilities include:
- Designing, implementing, and maintaining advanced algorithms for mesh generation and discrete geometry processing, leveraging AI technologies.
- Developing high-performance, memory-efficient software solutions to handle large and complex geometry data sets.
- Collaborating with expert teams to understand customer requirements and translate them into innovative development objectives.
- Conducting thorough testing, documentation, and maintenance of software components to ensure reliability and scalability.
The ideal candidate will have a strong foundation in computer science, computational geometry, or mathematics, with a proven track record of delivering high-quality software solutions.
Experience with software development related to mesh generation, discrete geometry data structures, large-scale data handling, geometry AI, or similar areas is essential.
Strong programming skills in Python and C/C++ are required, along with a working knowledge of software engineering principles, including design, implementation, and testing.
If you are an analytical thinker with a keen interest in algorithm development and programming, and are passionate about delivering high-quality software solutions, this could be the perfect opportunity for you.
Join the MDU team and contribute to the development of next-generation mesh generation and geometry processing products, enhancing performance and efficiency.
Empower customers to solve complex engineering challenges with robust, scalable software solutions.
Strengthen Synopsys's leadership in computational geometry by contributing to cutting-edge research and development.
Improve product quality and customer satisfaction through proactive problem-solving and support.
Facilitate cross-functional collaboration, bridging gaps between engineering, product management, and customer support teams.
Set new benchmarks in software performance, memory efficiency, and algorithmic innovation within the industry.