Sr Staff Engineer, AI/ML Applications

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 employs 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.

Job Summary

Renesas is seeking a Sr Staff Engineer to build AI-powered engineering applications and data platforms that improve semiconductor development productivity, accelerate decision-making, and reduce engineering cycle time.

The ideal candidate will lead the development of scalable full-stack solutions that transform engineering data into actionable insights through AI-driven workflows, analytics, and modern web applications. This role spans data engineering, backend services, AI integration, and React-based user experiences, enabling solutions such as engineering copilots, design exploration agents, workflow automation, and digital-thread platforms.

Responsibilities

Lead development of AI-powered engineering applications and platforms.; Integrate LLMs, RAG systems, vector databases, and agent frameworks into production solutions.; Design and implement scalable data ingestion, transformation, and serving pipelines for engineering data.; Build backend services and APIs supporting AI agents, workflow orchestration, analytics, and decision-support systems.; Develop modern web applications using React.js and TypeScript.; Design data models connecting requirements, architecture, implementation, verification, and sign-off results into a unified engineering knowledge platform.; Build dashboards, analytics, and workflow automation solutions that improve engineering productivity and reduce cycle time.; Collaborate with Architecture, Design, Verification, and Product Engineering teams to identify and deliver high-impact AI solutions.; Drive technical direction, architecture reviews, and engineering best practices.; Mentor engineers and influence technology strategy across teams.

Requirements

BS/MS in Computer Science, Electronics, AI/ML, or related field.; 10+ years of software engineering experience.; Experience developing AI-enabled applications using LLMs, RAG, vector databases, or agent-based architectures.; Strong experience in Data Engineering, including ETL pipelines, data modelling, data quality, and large-scale data processing using Azure Data Bricks.; Strong proficiency in Python and backend application development.; Hands-on experience with React.js, TypeScript, HTML, and modern web technologies.; Experience building REST APIs, microservices, and distributed systems.; Strong software design, problem-solving, and communication skills.; Demonstrated technical leadership and mentoring experience.

Nice to have

Experience with semiconductor design flows, EDA tools, or engineering productivity platforms.; Familiarity with physical design, verification, PPA analysis, or silicon development workflows.; Experience with graph databases, knowledge graphs, and engineering knowledge-management systems.; Experience with docker, cloud-native platforms, and workflow orchestration frameworks.