Infrastructure R&D Engineer (Sr.Staff)

• Designing software to support large-scale geometric data analysis and high-performance computing for OPC solutions.
• Optimizing infrastructure for distributed computing, ensuring seamless GPU integration.
• Collaborating with development teams to ensure efficient data handling and computational resource allocation.
• Debugging and troubleshooting infrastructure issues related to production line integration.
• Maintaining and troubleshooting the tool to meet performance and scalability requirements.
• Regularly contributing to the cutting-edge of semiconductor development by enhancing software performance and scalability.

The Impact You Will Have:

• Advancing the development of high-performance silicon chips and software content.
• Enabling leading IC manufacturing through efficient software solutions.
• Contributing to the optimization of infrastructure for distributed computing.
• Ensuring seamless integration and operation of infrastructure components.
• Improving software performance and scalability for large-scale data analysis.
• Enhancing the overall efficiency and effectiveness of semiconductor development processes.

What You ll Need:

• M.S. or Ph.D. in Computer Science, Engineering, or the Physical Sciences.
• 6+ years of experience in software development, with a focus on computational geometry and distributed processing.
• Expertise in C++, Python, and distributed computing environments.
• Experience in debugging and troubleshooting production-related issues.
• Strong communication and collaboration skills to work as part of a global team.

Who You Are:

• A proactive problem solver with a passion for innovation.
• Detail-oriented with a focus on optimizing performance and scalability.
• An effective communicator with the ability to collaborate across teams.
• A self-motivated individual who can work independently with limited supervision.
• A sophisticated professional with advanced knowledge and wide-ranging experience.