Synopsys

You Are: 

You are a highly skilled and motivated engineer with a passion for working with product engineers to develop and deploy cutting-edge semiconductor manufacturing solutions. You bring a deep understanding of computational lithography, and you are proficient in C/C++, 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: 

• Coordinate innovations across all facets of inverse lithography technology (ILT) to develop a comprehensive Mask Synthesis tool.   
• Explore, assess, prototype, and implement new hardware and algorithms to enhance the capabilities and/or improve the performance of Mask Synthesis tools. 
• Collaborate with other tools, such as a rigorous simulator and a mask fracturing tool, to create an integrated mask synthesis solution. 
• Use innovative techniques and ideas to create and investigate new computational lithography methods that expand Mask Synthesis capabilities through Machine Learning, AI, and GPUs. 
• Collaborate with key customers and field support teams to implement ILT at advanced nodes, troubleshoot, and solve complex technical issues. 

The Impact You Will Have: 

• Orchestrate the development and implementation of innovative computational lithography solutions that push the boundaries of semiconductor manufacturing technology.  
• Enhance product performance and reliability by analyzing feedback from product engineers or customers directly, ensuring their satisfaction and success.  
• Develop cutting-edge lithography technologies that help customers achieve superior results at advanced nodes.  
• Improve the usability and applicability of Mask Synthesis tools, making them more accessible and effective for a broader range of customers.  
• Collaborate closely with product engineers 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 C/C++, 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 is a plus. 

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 R&D 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. 

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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.