You Are :
You are a highly skilled and experienced software engineer, passionate about the intersection of artificial intelligence, machine learning, and electronic design automation (EDA). Your expertise is complemented by a strong foundation in software development best practices, from ideation to deployment and maintenance.
You are self‑motivated, detail‑oriented, driven by curiosity, and always seeking to solve challenging problems. You value independence but also excel as a team player, collaborating seamlessly with colleagues from diverse backgrounds. Your exposure to software tools and workflows gives you unique insight into the needs of our customers, and you aspire to take on leadership roles, mentoring others and shaping the direction of innovative projects. Your commitment to continuous learning and your proactive approach to tackling new challenges make you an invaluable contributor to any high‑performing engineering team.
What You’ll Be Doing :
The Impact You Will Have :
What You’ll Need :
Who You Are :
The Team You’ll Be A Part Of :
You’ll join a dynamic, forward‑thinking engineering team dedicated to creating and supporting Synopsys.ai companion products. Our team’s core focus is enabling and enhancing AI / ML capabilities in Synopsys’s EDA tools, directly contributing to the realization of pervasive intelligence in next‑generation technology. We value collaboration, creativity, and technical excellence, and we’re committed to supporting your growth and leadership ambitions as we shape the future of design automation together.
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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Staff Machine Learning Engineer • San Jose, CA, United States