Technical Product Management Architect – HAV AI Platform Strategy

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).