Synopsys

Job Overview

A Staff role that is focused on supporting infrastructure for large-scale ILT geometric data processing and assisting in the development of high-performance software with GPU. Regular interactions with our applications teams will be necessary to ensure a tight integration between the workload and the specific hardware its running on. This role will also be involved in debugging production issues with foundry partners and delivering timely solutions to ensure our product’s ongoing strength in the market.

Responsibilities and Duties

• Develop improved APIs and protocols for optimal CPU/GPU utilization at the system level.
• Support the profiling and analysis for existing ILT software.
• Design and implement GPU-accelerated algorithms for new workflows.
• Perform performance testing and benchmarking for GPU-based systems.
• Collaborate with foundry partners to troubleshoot production line issues.

Qualifications

• B.S., M.S. or Ph.D. in Computer Science or a related field.
• 5+ years of experience working with GPU-accelerated systems. Experienced in CUDA, OpenCL, or related technologies.
• Working background in C++ and/or Python programming.
• Strong problem-solving and communication skills.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.