Director, Design Technology and AI - Chip Design

We are looking for a Director from the FE ASIC domain to lead the Design Technology team. The team is responsible for driving AI-powered engineering productivity and developing, supporting, and operating the systems, tools, infrastructure, and automation solutions that enable the work of the design and verification teams in the networking ASIC group. A key objective is to maximize engineering productivity, design quality, and execution efficiency by accelerating the adoption of AI-assisted workflows, scalable automation, and advanced design technologies, while continuously evolving engineering tools and flows to meet the rapidly changing needs of AI-driven development. This position offers the opportunity to think outside the box and make a real impact on a dynamic, technology-focused company.

What You'll Be Doing

• Lead managers and team leads.
• Collaborate with project leaders to define strategy, priorities, and execution plans across strategic programs.
• Drive the development, deployment, operation, and adoption of design technologies, engineering infrastructure, automation, and AI-enabled solutions that improve chip design productivity, quality, and execution efficiency.
• Evolve engineering tools, environments, and workflows to meet the changing needs of AI-driven development and design engineering.
• Ensure high-quality support and enablement for internal engineering users through training, documentation, troubleshooting, and continuous service improvement.
• Partner with methodology and engineering stakeholders to drive adoption and continuous improvement of design and verification flows.
  
  

• Excellent management skills, quick learner, highly motivated, and customer-oriented.
• 15+ overall years of experience in chip design. Experience in CAD, design infrastructure, engineering productivity, automation, or AI-driven development environments is an advantage.
• 4+ years as a 2nd-line manager, leading managers and driving execution across multiple teams.
• Experience driving organizational adoption of new technologies, automation, and AI-based engineering solutions.
  
  

• Broad system-level understanding of modern chip design and verification flows.
• 10+ years of proven experience in Front-End chip design, CAD, design infrastructure, or engineering productivity.
• Passion for innovation, AI-driven engineering productivity, quality, efficiency, and flow automation.
• Demonstrated success leading large-scale engineering transformation initiatives, technology adoption programs, and AI enablement initiatives.