StaffFrontendEngineer(React/Vue/TanStack/Visx/Tailwind/Node.js)

Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employees roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Role Overview : We are looking for a Staff Frontend Engineer to lead the design and development of scalable, high-performance frontend applications. This role focuses on building rich, data-intensive user interfaces and contributing to frontend architecture at the product level. Key Responsibilities: * Architecture & Development: - Design scalable frontend systems using React.js with TypeScript - Define component architecture, state management, and data flow patterns - Implement server-state management using TanStack Query - Build high-performance data tables using TanStack Table - Develop backend-for-frontend (BFF) services usingNode.js * Data Visualization: - Build interactive charts, dashboards, and graph-based UIs using Visx or D3.js - Handle large datasets with virtualization and effi