We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
You Are:
An analytical engineer with a passion for scientific computing, applied mathematics, and advanced technology. With a strong academic background and hands on experience in large-scale engineering software, you thrive in complex problem solving environments and enjoy collaborating with diverse teams. Adaptable and creative, you are motivated by the impact of your work on consumer products worldwide. Expertise in numerical methods, high performance computing, parallel programming, and machine learning enables you to tackle intricate challenges with dedication and curiosity. Strong communication skills, a proactive mindset, and a commitment to excellence round out your profile as an ideal contributor to our international R&D team.
What You'll Be Doing:
- Designing and implementing GPU/CPU performance optimizations for large-scale TCAD simulations
- Developing distributed computing solutions to enable efficient simulation of complex nanoscale devices
- Applying machine learning models to address emerging technology challenges in semiconductor simulation
- Performing numerical analysis of strongly coupled PDE systems to enhance simulation accuracy and speed
- Collaborating closely with Application Engineering and cross functional teams to refine and validate solutions
- Contributing to the continuous improvement of the Sentaurus product line used by semiconductor companies, research institutions, and universities worldwide
- Engaging in code reviews, technical discussions, and knowledge sharing within a high-performing R&D culture
The Impact You Will Have:
- Drive innovations that enable next generation chip design and simulation for global industry leaders
- Accelerate the development of consumer products-phones, cameras, cars, and more-by advancing simulation technology
- Enhance the performance and scalability of the Sentaurus product line, directly influencing semiconductor research and development
- Support the transition to smarter, more efficient devices by integrating advanced ML and HPC techniques
- Foster collaboration across teams and disciplines, promoting a culture of creativity and technical excellence
- Champion the adoption of new methodologies and tools, ensuring Synopsys remains at the forefront of innovation
- Mentor and inspire peers, contributing to the growth and diversity of the R&D engineering community
What You'll Need:
- PhD or MS in Applied Mathematics or a closely related field, with 3+ years of experience developing large, complex engineering software
- Strong background in numerical methods, high performance computing (HPC), and parallel programming (MPI, TBB, OpenMP)
- Proficiency in software design and programming, particularly in C++, CUDA, and Python
- Experience applying machine learning methods in an engineering or scientific computing context
- Expertise in numerical analysis, especially with strongly coupled PDE systems
- Preferred: Experience in applied physics, electrical engineering, or mechanical engineering background in linear solver methods, discretization methods (FEM, FVM) OR physical modelling of semiconductor devices
Who You Are:
- Analytical and detail-oriented, with a strong problem solving mindset
- Collaborative and open to diverse perspectives, thriving in a multicultural team environment
- Innovative and creative, always seeking new approaches and solutions
- Effective communicator, able to explain complex concepts to varied audiences