Senior Staff GPU R&D Engineer

We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:
You are a seasoned professional with a passion for GPU-accelerated systems and algorithm optimization. With a strong background in computer science and extensive experience in GPU technologies like CUDA, OpenCL, or ROCm, you excel in designing and implementing high-performance solutions. Your expertise in C++ and Python, along with your ability to troubleshoot and collaborate effectively, makes you an ideal fit for this role. You are proactive, innovative, and always stay abreast of the latest trends in GPU technology. Your ability to lead benchmarking and performance testing initiatives showcases your commitment to delivering optimal solutions for cutting-edge ILT software in the EDA industry.

What You'll Be Doing:

• 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.

The Team You'll Be A Part Of:
You will be part of a highly skilled and collaborative team focused on developing and optimizing GPU-accelerated algorithms for ILT software. Our team works closely with other cross-functional teams, customers, and hardware vendors to ensure the seamless integration of GPU features and the delivery of optimal solutions. We are committed to staying at the forefront of technological advancements and driving innovation in the EDA industry.

Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.