Senior Staff GPU R&D Engineer

Job Description

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