Demo

TBD

Synopsys
Austin, TX Full Time
POSTED ON 3/10/2025
AVAILABLE BEFORE 4/28/2025

You Are:

You are a highly skilled and motivated engineer with a passion for working with customers and R&D to develop and deploy cutting-edge semiconductor manufacturing solutions. You bring a deep understanding of computational lithography, and you are proficient in Python, scripting languages, machine learning, HPC technologies, and GPUs. You are dedicated to continuous learning and innovation, always seeking new ways to improve and extend Mask Synthesis capabilities using the latest technological advancements.

What You’ll Be Doing:

  • Review and analyze feedback on product and solutions performance from customers and other application partners, working directly with R&D to develop and implement technical roadmaps, specifications, and validation for improvements and enhancements.
  • Use innovative techniques and ideas to create/explore new computational lithography methods extending Mask Synthesis capability using Machine Learning, AI, and GPUs.
  • Work with key customers and field support teams to deploy inverse lithography technology (ILT) at advanced nodes, debug and resolve challenging technical problems from customers’ side.
  • Compile training materials and provide trainings to field application engineers and customers.
  • Work with the technical publication team for generating product release documents.

The Impact You Will Have:

  • Drive the development and implementation of innovative computational lithography solutions that push the boundaries of semiconductor manufacturing technology.
  • Enhance product performance and reliability through thorough analysis and feedback integration, ensuring customer satisfaction and success.
  • Support the deployment of advanced lithography technologies, enabling customers to achieve superior results at advanced nodes.
  • Improve usability and applicability of Mask Synthesis tools, making them more accessible and effective for a broader range of customers.
  • Contribute to the creation of comprehensive training materials and documentation, empowering customers and field engineers with the knowledge they need.
  • Collaborate closely with R&D to drive continuous improvement and innovation in Synopsys' product offerings.

What You’ll Need:

  • M.S. or Ph.D. in Electrical Engineering, Computer Science, or Physical Science.
  • 12 years of experience in the semiconductor field, with a focus on computational lithography.
  • Proficiency in Python, scripting languages, machine learning, HPC technologies, and GPUs.
  • Strong troubleshooting and debugging skills for resolving production-related issues.
  • Experience working with key customers and field support teams to deploy and debug advanced lithography technologies.

Who You Are:

  • Strong communication and teamwork skills.
  • Highly analytical with excellent problem-solving abilities.
  • Innovative thinker, always looking for new ways to improve and extend capabilities.
  • Detail-oriented and committed to producing high-quality work.
  • Passionate about continuous learning and staying current with industry advancements.

The Team You’ll Be A Part Of:

In the Silicon Technology Group, we develop software tools that enable the fabrication of cutting-edge technologies. If you share our passion for innovation, this is an exciting opportunity to be part of a fast-paced Applications Engineering team working on best-in-class Mask Synthesis tools.

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.

#LI-MS2

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