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Layout Design, Staff Engineer

AI Solutions Developer50613BRUSA - California - California, USA - California - Mountain View/Sunnyvale, USA - Massachusetts - Boston, USA - Massachusetts - Boxborough, USA - Massachusetts - Marlboro, USA - Oregon - HillsboroJob Description and RequirementsWe 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 innovationYou are:You are a passionate and innovative Engineer with a knack for building transformative AI-driven products. You excel in dynamic, collaborative environments and have a proven track record of developing, testing, and maintaining integrated AI applications. With a strong foundation in analog design and a drive to stay updated with the latest technological advancements, you are always ready to tackle new challenges. Your excellent communication skills enable you to work effectively with cross-functional teams, ensuring seamless integration and a superior user experience. You take pride in your work and are committed to enhancing productivity and setting industry standards through cutting-edge AI solutionsWhat You'll Be Doing:Working on a small team that does solution-focused research and prototyping for GenAI methods to help solve problems for users.• Design internal and external products to improve employee productivity using GenAI & CoPilot experiences.• Develop applications to enable simplified access to AI features across multiple domains.• Architecting Generative AI and Deep Learning applications tailored to Custom Mixed Signal design challenges.• Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations.• Collaborating with cross-functional teams to design and develop scalable solutions that align with business objectives.• Communicating complex technical concepts and findings to both technical and non-technical stakeholders.• Driving innovation in new generative AI approaches and staying up-to-date on the latest research in the field.The Impact You Will Have:• Enhance employee productivity through innovative GenAI solutions.• Facilitate seamless integration of AI solutions into existing applications, improving overall user experience.• Ensure fast GenAI application prototyping through development infrastructure streamlining.• Lead the adoption of cutting-edge technologies and frameworks, setting new industry standards.• Drive the development of high-performance, scalable AI solutions that meet the evolving needs of the business.• Empower teams to leverage AI technologies effectively, fostering a culture of innovation.What You'll Need:• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field• 2+ years of experience applying machine learning and AI methods to engineering problems.• Understanding on Analog design is an added bonus.• Proficiency in Python and a solid background in data structures and algorithms.• Experience with LLMs, GPT models, and other generative AI techniques.• Strong problem-solving skills and the ability to work both independently and collaboratively.• Excellent communication and presentation skills.Who You Are:• A collaborative team player and an independent problem-solver.• An excellent communicator capable of translating complex technical concepts for diverse audiences.• A continuous learner who stays updated with the latest advancements in AI and machine learning.• Proactive and able to work independently with minimal supervision.The Team You'll Be A Part Of:You will be part of a dynamic and forward-thinking team focused on developing and integrating cutting-edge solutions. Our team values collaboration, innovation, and a commitment to excellence. We work closely with various departments to ensure our products enhance overall productivity and user experience.The base salary range across the U.S. for this role is between $107,000 - $186,000. 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.Our Silicon IP business is all about integrating more capabilities into an SoC-faster. We offer the world's broadest portfolio of silicon IP-predesigned blocks of logic, memory, interfaces, analog, security, and embedded processors. All to help customers integrate more capabilities. Meet unique performance, power, and size requirements of their target applications. And get differentiated products to market quickly with reduced risk.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 and software security. If you share our passion for innovation, we want to meet you.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.Job CategoryEngineeringCountryUnited StatesJob SubcategoryLayout DesignHire TypeEmployeeBase Salary Range107,000 - 186,000
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Smart Everything—From Silicon to Software Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine...

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Full-time, on-site
DATE POSTED
September 9, 2024

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