Staff AI Engineer - Design Automation

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description We're building AI agents that automate complex semiconductor engineering workflows. We're looking for a Staff Engineer with strong technical fundamentals, semiconductor domain knowledge, and AI/ML understanding to help shape both the agents and the platfo [... source excerpt omitted ...] ions. You'll design agentic systems that reason, plan, and use tools to solve real problems - then build the infrastructure to deploy them reliably at scale. Essential Duties and Responsibilities: - Design and build AI agents that automate multi-step semiconductor workflows - Develop the Agent Platform: orchestration, tool integration, observability, and evaluation infrastructure - Work closely with design and verification engineers to deeply understand pain points and identify high-impact automation opportunities - Create techniques for grounding agents in domain knowledge - specifications, design rules, verification intent - Build rigorous evaluation frameworks that measure ag [... source excerpt omitted ...] safety - Debug hard problems across the stack - from model behavior to infrastructure to domain-specific edge cases - Ship systems that work reliably, not just impressive demos Qualifications Required: - Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field - 3+ years of industry experience - Experience in or familiarity with semiconductor or EDA: RTL design, verification, physical design, or EDA tool development - Foundational understanding of AI/ML: how models work, training, and evaluation - Strong programming skills and ability to build robust, production-quality systems - Systems thinking - you can reason about complex proble