Senior Staff GPU R&D Engineer

• Optimize existing GPU implementations for ILT software.
• Design new GPU-accelerated algorithms for large-scale geometric data handling for ILT.
• Collaborate with cross-functional teams to ensure seamless integration of GPU features.
• Lead benchmarking and performance testing initiatives.
• Stay current on GPU technology trends and design the latest advancements into the system.
• Work closely with customers and hardware vendors to deliver optimal solutions rapidly.

The Impact You Will Have:

• Enhance the performance and efficiency of ILT software through optimized GPU implementations.
• Develop innovative GPU-accelerated algorithms that handle large-scale geometric data efficiently.
• Ensure seamless integration of GPU features into existing Mask Synthesis tools.
• Lead performance testing to ensure the highest standards of software quality.
• Drive technological advancements by integrating the latest GPU trends into our systems.
• Contribute to the rapid manufacturing of new chips by delivering optimal solutions swiftly.

What You ll Need:

• M.S. or Ph.D. in Computer Science or a related field.
• 6+ years of experience working with GPU-accelerated systems.
• Proficiency in CUDA, OpenCL, ROCm, or related technologies.
• Expertise in C++ and Python.
• Experience in distributed computing environments.
• Strong troubleshooting and collaboration skills.

Who You Are:

• Innovative and proactive with a keen interest in the latest GPU technologies.
• Detail-oriented with strong problem-solving skills.
• Effective communicator who excels in collaborative environments.
• Dedicated to delivering high-performance solutions and continuous improvement.
• Adaptable and able to thrive in a fast-paced, dynamic environment