• Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows. • Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes. • Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design. • Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies. • Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions.

• Build and develop AI-powered tools that improve workflow efficiency, data analysis, and decision-making across customer support • Build systems that ingest and unify data from multiple sources (internal databases, forums, social media, internal tools) • Develop LLM- and RAG-based solutions that allow users to query systems in natural language and retrieve detailed, contextual insights • Build automated reporting and metrics generation tools tailored to different collaborators (engineering, QA, program management, customers, support teams) • Enable personalized, role-based data access—allowing individuals and teams to easily retrieve the information most relevant to them • Identify patterns, trends, and root causes from internal systems using advanced analytical methods • Lead the development of AI-assisted localization pipelines to improve translation speed and scalability and targeted human translation • Research, evaluate, and implement emerging AI technologies to continuously improve internal systems • Provide technical leadership and guidelines for AI-based system build and deployment

• Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. • Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team and our SRE teams. • Drive significant performance, latency, and availability improvements for our data lake services • Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. • Investigate and resolve fault-tolerance and high availability issues as well as performance and scale challenges both inside and across service boundaries. • Contribute to open-source projects such as DuckDB and Apache Polaris. • Embrace Fivetran innovations with open-source standards and toolsets. • Set technical directions and influence cross-functional teams.

• Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. • Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team and our SRE teams. • Drive significant performance, latency, and availability improvements for our data lake services • Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. • Investigate and resolve fault-tolerance and high availability issues as well as performance and scale challenges both inside and across service boundaries. • Contribute to open-source projects such as DuckDB and Apache Polaris. • Embrace Fivetran innovations with open-source standards and toolsets. • Set technical directions and influence cross-functional teams.