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GPU Principal Engineer

Synopsys
$157000-$235000
United States, Oregon, Hillsboro
Nov 27, 2024

You Are:

You are a seasoned engineer passionate about harnessing the power of GPUs to push the boundaries of technology. You thrive in collaborative environments, consistently delivering innovative solutions and staying abreast of the latest advancements in GPU technology. You are ready to take on new challenges and contribute to groundbreaking developments in the EDA industry.

What You'll Be Doing:

  • Optimize existing GPU implementations for Mask Synthesis applications on curvilinear masks.
  • Design new GPU-accelerated algorithms for large-scale geometric data handling.
  • Collaborate with cross-functional teams to ensure seamless integration of GPU features.
  • Communicate with individuals both inside and outside the functional area.
  • Lead benchmarking and performance testing initiatives.
  • Actively follow GPU technology trends and integrate the latest advancements into the system.

The Impact You Will Have:

  • Enhance the performance and efficiency of Mask Synthesis tools through GPU optimization.
  • Enable rapid manufacturing of new chips by delivering optimal solutions to customers and hardware vendors.
  • Drive innovation in the EDA industry with cutting-edge GPU-accelerated algorithms.
  • Support the development of leading-edge ILT and OPC software.
  • Contribute to the success of Synopsys by implementing strategic goals with direct impact on department results.
  • Ensure the seamless integration of GPU features into existing systems, enhancing overall product performance.

What You'll Need:

  • M.S. or Ph.D. in Computer Science or a related field.
  • Minimum of 8 years of experience working in large-scale software systems, ideally utilizing GPU-acceleration.
  • Proficiency in CUDA, OpenCL, ROCm, or related technologies.
  • Expertise in C++, Python, and distributed computing environments.
  • Strong troubleshooting and collaboration skills.

Who You Are:

  • An innovative thinker with a passion for GPU technology.
  • A collaborative team player with strong communication skills.
  • A problem-solver with excellent troubleshooting abilities.
  • An experienced engineer with a track record of delivering high-performance solutions.
  • A lifelong learner who stays updated on the latest technological advancements.

The Team You'll Be A Part Of:

You will join a dedicated and dynamic team focused on implementing GPU-accelerated algorithms for leading-edge ILT and OPC software in the EDA industry. Our team values collaboration, innovation, and excellence, working closely with customers and hardware vendors to deliver optimal solutions. Together, we drive the rapid manufacturing of new chips and contribute to Synopsys' success through continuous technological advancements.

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.

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.

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Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.


In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.


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