R&D Engineer - OPC Modeling

Company:  Synopsys
Location: Sunnyvale
Closing Date: 03/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

You Are:

You are a highly skilled and motivated software engineer with a passion for developing cutting-edge modeling solutions. You thrive in a collaborative environment and are always eager to explore new technologies. Your analytical and problem-solving skills are top-notch, and you have a solid foundation in physical modeling, statistical analysis, and numerical computation. You are ready to take on complex challenges and contribute to the success of Synopsys.

What You'll Be Doing:

  • Designing innovative, physics-driven model solutions by analyzing customer data
  • Creating specifications for prototyping, and developing new modeling solutions
  • Maintaining and improving existing functionalities
  • Working with the field support team and customers to understand new technical requirements
  • Collaborating with cross-functional teams to integrate modeling solutions into existing products
  • Addressing challenging problems in advanced software engineering to develop innovative and highly efficient software architectures, interfaces, algorithms, and data structures

The Impact You Will Have:

  • Enhancing the accuracy and efficiency of OPC models used in semiconductor manufacturing
  • Contributing to the continuous improvement of Synopsys' modeling solutions
  • Driving innovation in the field of lithography and etch process simulation
  • Helping customers achieve better outcomes through improved software tools
  • Strengthening Synopsys' position as a leader in chip design and verification
  • Supporting the development of next-generation semiconductor technologies

What You'll Need:

  • Demonstrated analytical and problem-solving skills with a strong desire to explore new technologies
  • Solid programming skills in C++ and Python and familiarity with data structures and algorithms
  • Strong background in physical modeling, statistical analysis, and optimization
  • Experience in numerical analysis and numericalcomputation, like Fourier analysis, sampling theory, basis functions, PDE solver, etc.
  • MS in CS/EE/physics/applied math or related fields with 5+ years, or PhD with 3+ years of experience

Who You Are:

  • Excellent communication skills and the ability to work in a team environment
  • Creative thinker with a passion for innovation
  • Detail-oriented and committed to delivering high-quality results
  • A proactive problem-solver who takes initiative
  • Adaptable and able to thrive in a fast-paced, dynamic environment

The Team You'll Be A Part Of:

The Synopsys Proteus OPC modeling team is responsible for the design, development, and productization of full-chip software tools for modeling and simulating lithography and etch processes (e.g., optical proximity effects, mask and wafer topography effects, resist effects, etc). As part of the R&D team, you will help develop and improve modeling components, explore new modeling techniques, and modernize the infrastructure.

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.

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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