AI Platform Integration Architect

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. As we pioneer Gen AI EDA products and expand into groundbreaking AI domains, we’re seeking team members who are passionate, collaborative, and eager to make a tangible impact.

You are a visionary and hands-on technical leader with a deep-rooted passion for architecting next-generation AI platforms. You thrive in fast-paced, collaborative environments and are recognized for your expertise in both cloud-native technologies and advanced AI product integration. With at least a decade of experience in software development and architecture, you have successfully delivered scalable solutions in production, working closely with diverse teams and stakeholders.

You possess an exceptional ability to translate complex business and technical requirements into robust, deployable architectures, and you are adept at adopting and integrating emerging technologies such as LLMs, inference servers, and modern orchestration tools. Your approach is pragmatic yet innovative, and you’re committed to fostering inclusivity and knowledge-sharing within your teams. You value open communication, continuous learning, and are excited by the prospect of influencing the strategic direction of Synopsys’ Gen AI Platform initiatives.

Your leadership style is supportive and empowering, and you are not afraid to get your hands dirty, guiding teams through the intricacies of product development, deployment, and customer delivery. If you’re excited to shape the future of AI-enabled EDA and make a real-world impact, Synopsys is the place for you.

• Collaborating with EDA Gen AI product R&D teams to design, prototype, and deploy cutting-edge AI solutions using modern cloud and container technologies.
• Integrating Kubernetes, Helm, inference engines, API gateways, and the full Cloud Native stack to architect and deliver sophisticated AI products.
• Developing and steering the architectural vision for the Synopsys Platforms, ensuring scalability, security, and market relevance.
• Translating complex customer needs and technical requirements into comprehensive, deployable solutions that align with generative AI product goals.
• Leading and mentoring the AI product development team with a hands-on approach, fostering innovation and the adoption of best practices.
• Driving the deployment and integration of the Synopsys AI Platform across on-premises, cloud, and hybrid environments.
• Engaging with customers and stakeholders to refine architectural strategies and support successful product adoption.
• Staying abreast of emerging AI technologies, tools, and methodologies to ensure Synopsys remains at the forefront of AI for EDA.

• Shape the foundation and direction of Synopsys’ Gen AI Platform, directly influencing the success of next-generation EDA products.
• Enable rapid and scalable deployment of AI-driven solutions for both internal teams and external customers.
• Bridge the gap between advanced AI research and real-world productization, making AI accessible and impactful for semiconductor design workflows.
• Foster a culture of innovation, inclusivity, and technical excellence within the AI product development organization.
• Accelerate Synopsys’ leadership in AI-enabled EDA by delivering highly integrated and differentiated platform solutions.
• Drive adoption of cloud-native best practices, improving efficiency, reliability, and time-to-market for AI products.
• Empower customers to leverage AI in transformative ways through robust, secure, and scalable platforms.
• Ensure smooth alignment across product, field, and customer stakeholders.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum of 10 years in software development—preferably with distributed technologies,…