- 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.
