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Photonics QA Engineer

Salary undisclosed

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This role will be an inward facing Photonic Design Tool Application Engineer to work with our Software Teams who can understand core functionality and drive interactive testing daily.

Responsibilities include:
  • Create real-world example models and execute functional tests
  • Develop Test plans for New Features
  • Contribute to Technical Documentation for customer usage
  • Write and Maintain Scripted Regression Testcases
Requirements:
  • B.S. or higher with Photonics Degree or related field
  • 3+ years experience in the Photonics Industry using Simulation Software
    • Experience with RSoft Tools highly desirable
  • Capable of writing content for new features to help technical writers document it
  • Good written and communication skills
  • Prior experience with programming or scripting languages is highly desirable
ABOUT US
At Synopsys, we're at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we're powering it all with the world's most advanced technologies for chip design. If you share our passion for innovation, we want to meet you.

Our Silicon Design & Verification business is all about building high-performance silicon chips-faster. We're the world's leading provider of solutions for designing and verifying advanced silicon chips. And we design the next-generation processes and models needed to manufacture those chips. We enable our customers to optimize chips for power, cost, and performance-eliminating months off their project schedules.

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The base salary range across the U.S. for this role is between $108,000-$162,000 annually. In addition, 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.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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