Technical Product Management Architect – HAV AI Platform Strategy
Teknik, data och digitalt · Produkt och design · Produktledning
I korthet
Synopsys is seeking a Technical Product Management Architect to define the AI strategy for their HAV platforms (ZeBu, HAPS). This role involves identifying AI-driven verification use cases, developing a multi-year roadmap, and integrating AI/ML into verification workflows. The ideal candidate has extensive experience in EDA/verification and a passion for transforming verification through AI.
Ansvarsområden
- Identify and own AI-driven verification use cases for breakthrough productivity improvements.
- Define the HAV AI platform strategy and build a multi-year roadmap for AI-native capabilities.
- Specify how AI/ML will enhance test generation, debug, coverage, power, and performance workflows.
- Drive platform-level PRDs covering hardware, software, data collection, model lifecycle, and AI services.
- Partner with R&D to architect data pipelines and execution models.
- Align HAV AI strategy with adjacent solutions for end-to-end verification continuity.
- Collaborate with Synopsys.ai and Copilot teams for agent integration and shared platform services.
- Engage lead customers for early validation, value quantification, and feedback-driven iteration.
- Communicate the HAV AI platform vision in executive, partner, and customer forums.
Krav
- 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.
- Working knowledge of ML fundamentals, agent-based systems, and model lifecycle considerations.
- Hands-on experience with verification workflows: test generation, debug, coverage, and performance/power analysis.
- BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
Önskade kvalifikationer
- Proven track record of building data/telemetry platforms, experimentation frameworks, or model evaluation pipelines (preferred).
- Excellent cross-functional communication and leadership skills.
- Customer-facing experience driving discovery, pilots, and adoption for platform products (preferred).
Förmåner
- Eligible for an annual bonus, equity, and other discretionary bonuses.
- Comprehensive health, wellness, and financial benefits.
- Competitive total rewards package.
#AI#Product Management#Hardware#Verification#Platform Strategy#EDA#Emulation#Prototyping#Machine Learning