Senior R&D Engineer

Company:  Synopsys
Location: Sunnyvale
Closing Date: 07/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

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 deploying Machine Learning (ML) techniques to solve complex problems. You have a strong background in C, C++, and Python, and a basic understanding of Automatic Test Patterns Generation (ATPG). Your curiosity drives you to explore new frontiers, and you possess the drive to see projects through to completion. You are an excellent communicator, both verbally and in writing, and thrive in collaborative environments. As a team player, you are eager to partner with top technical leaders and work cross-functionally on innovative projects. Your ability to analyze and evaluate diverse problems sets you apart, making you a valuable asset to any team.

What You'll Be Doing:
  • Deploy Machine Learning (ML) techniques to improve TMAX quality of results and ease of use.
  • Collaborate with a Synopsys Fellow and other top technical leaders on cross-functional projects.
  • Develop and refine algorithms to enhance the performance and capabilities of TMAX.
  • Conduct research to explore new areas where TMAX can be extended with ML.
  • Analyze and evaluate the effectiveness of implemented ML techniques.
  • Communicate findings and progress to team members and stakeholders.
The Impact You Will Have:
  • Extend TMAX into new areas, leveraging the power of ML to differentiate it from competitors.
  • Improve the quality and ease of use of TMAX, making it a more valuable tool for users.
  • Enhance the performance and capabilities of TMAX through innovative ML techniques.
  • Contribute to the success of Synopsys by driving technological advancements in chip design and verification.
  • Collaborate with top technical leaders to bring cutting-edge solutions to market.
  • Influence the direction of future projects and initiatives at Synopsys.
What You'll Need:
  • Proficiency in C, C++, and Python.
  • Experience with Machine Learning (ML) techniques and their applications.
  • Basic understanding of Automatic Test Patterns Generation (ATPG).
  • Strong analytical and problem-solving skills.
  • Excellent communication skills, both verbal and written.
Who You Are:
  • Curious and driven to explore new technologies and solutions.
  • A good communicator who can articulate complex ideas clearly.
  • A team player who thrives in collaborative environments.
  • Detail-oriented with a strong focus on quality and performance.
  • Adaptable and able to work on diverse scope problems.
The Team You'll Be A Part Of:

You will be part of a dynamic team focused on differentiating TMAX from the competition by introducing new features and capabilities. The team collaborates closely with technical leaders and cross-functional groups to drive innovation and enhance the performance of Synopsys' products.

#LI-DP1

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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