Technical Product Management Architect - HAV AI Platform Strategy

Technical Product Management Architect - HAV AI Platform Strategy

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.

Our Hardware-Assisted Verification (HAV) platforms-ZeBu and HAPS-enable system-level verification and validation so customers can validate functionality, performance, power, and software with high confidence. As systems grow in complexity, verification workflows must scale beyond traditional approaches. In this role, you will help make AI a core architectural capability of HAV platforms-improving ease of deployment, verification efficiency, accelerating debug, and enabling new levels of system insight.

You Are:

You are an accomplished technical product leader with a passion for transforming verification through AI-centric architecture. Your expertise in hardware-assisted verification (HAV), especially emulation and prototyping, empowers you to identify where AI can drive step-change improvements. You think holistically about systems, data pipelines, and productization, ensuring AI is woven into the fabric of platforms-not simply added as an afterthought. You have a proven track record of translating strategic vision into actionable, scalable solutions that deliver measurable customer value.

You thrive in highly collaborative, cross-functional environments, partnering with R&D, product management, and go-to-market teams. Your communication skills enable you to align executives and engineering teams around complex roadmaps and tradeoffs, and your customer-centric mindset ensures that every AI investment is grounded in real-world productivity outcomes. You are comfortable operating at multiple levels-whether drafting detailed PRDs, architecting platform services, or presenting the platform vision to customers and partners. As a trusted leader, you influence through clarity, pragmatism, and a relentless focus on delivering what matters most for customers and for Synopsys' leadership in the market.

Above all, you are driven by impact-eager to shape the future of verification by embedding AI as a first-class capability, and excited to work at the intersection of hardware, software, and advanced data-driven technologies.

What You'll Be Doing:

• Identifying, prioritizing, and owning AI-driven verification use cases that deliver breakthrough improvements in productivity, such as debug acceleration, coverage closure efficiency, and regression throughput.
• Defining the HAV AI platform strategy, focusing on ZeBu and HAPS, and building a multi-year roadmap for AI-native HAV capabilities with clear milestones and adoption targets.
• Specifying how AI/ML and agent-based systems will enhance test generation, debug, coverage, power, and performance workflows across the verification continuum.
• Driving platform-level PRDs that span hardware, software, data collection/telemetry, model lifecycle, and AI services to ensure seamless integration and operability.
• Partnering with R&D to architect data pipelines and execution models (host, embedded processor, FPGA-adjacent, transactor-based) to optimize performance, security, and scalability.
• Aligning the HAV AI strategy with adjacent solutions (debug, coverage, power, SLM, and post-silicon) to deliver end-to-end verification continuity and value.
• Collaborating with Synopsys.ai and Copilot teams to integrate agent experiences and define shared platform services for HAV workflows.
• Engaging lead customers for early validation of use cases, quantifying value, and driving adoption through feedback-driven iteration.
• Communicating the HAV AI platform vision in executive, partner, and customer forums to drive alignment and excitement across the ecosystem.

The Impact You Will Have:

• Set the long-term direction for AI as a foundational capability within HAV, influencing the future of verification at Synopsys and across the industry.
• Advance ZeBu and HAPS platforms toward AI-native verification experiences that scale with growing system complexity and customer demands.
• Deliver measurable improvements in productivity, throughput, and time-to-signoff for leading system design teams worldwide.
• Create durable product differentiation through unique data, proprietary models, and seamless workflow integration.
• Enable new system-level, power-aware, and post-silicon-adjacent workflows by connecting insights across the entire verification continuum.
• Drive adoption of AI-powered HAV solutions through customer engagement, early access programs, and impactful value demonstrations.
• Shape the verification industry by pioneering AI-driven orchestration, debug acceleration, and coverage intelligence capabilities.
• Establish Synopsys as the leader in AI for hardware verification, influencing industry standards and best practices.

What You'll Need:

• 15+ years of experience in technical product management, engineering, or architecture within EDA/verification (emulation, prototyping, compilers, or related domains).
• Deep understanding of hardware-assisted verification workflows and platforms, including emulation and prototyping.
• Demonstrated ability to deliver applied AI/ML capabilities in production software or platforms, from concept through launch.
• Working knowledge of ML fundamentals, agent-based systems, and model lifecycle considerations (data, evaluation, deployment).
• Hands-on experience with verification workflows, including test generation, debug, coverage, and performance/power analysis.
• Proven track record of building data/telemetry platforms, experimentation frameworks, or model evaluation pipelines (preferred).
• Excellent cross-functional communication and leadership skills, with the ability to align executives and engineering teams around roadmap tradeoffs.
• BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
• Customer-facing experience driving discovery, pilots, and adoption for platform products (preferred).

Who You Are:

• Visionary platform thinker who connects hardware, software, data, and AI into coherent, actionable product strategies.
• Pragmatic and outcome-driven, prioritizing initiatives that will ship and deliver measurable customer impact.
• Comfortable operating at multiple altitudes-from hands-on product documentation to long-term platform vision.
• Trusted partner to engineering and executive stakeholders, aligning teams through influence, clarity, and decisive leadership.
• Product-minded leader who frames AI investments around concrete verification use cases and customer productivity outcomes.
• Highly collaborative, open to diverse perspectives, and dedicated to fostering an inclusive, innovative team environment.

The Team You'll Be A Part Of:

You will join a highly skilled, cross-functional product management and architecture team focused on transforming the future of hardware verification. This team partners closely with R&D, Synopsys.ai, Copilot, and go-to-market teams to define and deliver AI-native capabilities across ZeBu and HAPS platforms. Our culture values innovation, customer focus, and collaborative problem-solving, empowering every team member to make a meaningful impact on both product strategy and customer outcomes.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, 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 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.