You will develop AI and ML-based solutions that integrate directly with Synopsys EDA tools like Fusion Compiler, ICC2, and PrimeTime to solve PPA optimization problems across synthesis, place and route, and signoff.
Design and deploy intelligent agent-based workflows that automate decision-making in physical design, including congestion management, timing closure, IR drop mitigation, and power density optimization.
Build machine learning models and data pipelines using Python and big data frameworks to analyze large-scale design datasets and extract actionable insights for design convergence.
Collaborate with customers and internal engineering teams to understand real-world design challenges at 5nm, 3nm, and future nodes, then translate those into scalable, production-ready AI-driven solutions.
Define and document best practices for AI-driven EDA methodologies, including agent architectures, skill definitions, and orchestration frameworks that can be reused across design teams.
Prototype and validate reinforcement learning or optimization algorithms applied to specific EDA problems like floorplanning, placement quality, or clock tree synthesis.
Work across the full physical design flow, from RTL to signoff, ensuring AI solutions are grounded in the realities of variability, EM, IR, DRC, and DFM constraints.
Enable design teams to close timing, power, and area targets faster by automating decisions that currently require days of manual iteration and expert judgment.
Reduce time to tapeout for advanced node designs by building intelligent workflows that predict and resolve congestion, IR issues, and variability challenges before they become blockers.
Define the next generation of Synopsys AI-powered design solutions that will be deployed across customer engagements globally, directly influencing how chips are designed at scale.
Accelerate adoption of machine learning in semiconductor design by creating frameworks and methodologies that make AI accessible to physical design engineers, not just data scientists.
Improve design quality and yield by surfacing patterns in large datasets that human analysis would miss, translating data into design decisions that matter.
Shape the roadmap for AI integration in Synopsys EDA tools by working closely with product and R&D teams to identify high-impact use cases and validate technical feasibility.
Help customers at the leading edge of semiconductor technology solve problems that have no established playbook, becoming a trusted technical partner in their most critical programs.
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