Senior Staff GPU R&D Engineer

4 weeks ago


Bengaluru, Karnataka, India Synopsys Full time
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

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