Company Description
About Renesas:
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 Io T markets. Our robust product portfolio includes world-leading MCUs, So Cs, 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 the 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.
About Operations Engineering Division (OED):
OED is the central team that supports all Business Unit Design and Development teams, and other organizations including Sales, Marketing, Business Operations, Foundry Operations, and Test. OED provides a platform for managing all process technology and PDK development for both Internal and External Foundry processes. This strong and highly qualified team (mostly MS/Ph D) adds strength in developing Test Technology, Foundry Operations, and Yield management. Our world class contributions lead to aggressive NPI strategies and continual cost and gross margin improvements.

Job Description
Support System Initiatives in Data Wrangling and ML/AI. Architect and develop solutions/tools to support Operations Engineering and Operations. Closely collaborate with all teams within the Operations team as well as other teams like ISD, SW&D and Product Line BUs to provide timely execution of projects and solutions necessary to achieve the goals of the Operations/OED organization. The new hire is expected to:

• Under the team leader’s directives, define and develop ML/AI models to improve Operations performance metrics
• Maintain skills to ensure competence to perform agreed upon responsibilities.
• Align with manager’s goals and initiatives to meet agreed-upon KPIs.
• Work independently with moderate level of supervision
• Mentor and train other members of the team in all technical aspects
• Manage third party vendor to deliver projects/solutions
• ML Model Development, Tools & Solutions and Data Analytics (System Initiatives and Tools):

・Architect, Design and implement Test Monitoring for Factory Systems for ATE and develop OEE Solutions.
・Work with vendors like PDF and NI and inhouse tools like GYM to support OED ・ Work with external vendors and internal Renesas groups to develop customized specific ML/AI models to improve Operations metrics. Use these models and data analysis to proactively answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
・Implement and automate (CI/CD) deployment and use of AI/ML models
・Support the Operations Digital Platform Strategy, collaborating with the Operations, IT and other teams on the technology implementation of Azure Data Lake. Support development of Azure Databricks and Azure ML + MLFlow
・Work to clean and provide Data Lake data to consumers in other BUs
・Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources

Qualifications
・Preferably a BA/BS in Computer Science, Engineering, Information Systems or equivalent and 12+ years of related experience (Will consider candidates with 16+ years of related experience only)
・8+ years in software development in Python, C++, C# or other programming languages
・8+ years overall experience (total) in Data Science, Business Intelligence, Data Management / Platform
・Experience in Power BI, Databricks on Azure
・Experience in CI/CD – use of Gitlab / Bitbucket or Cloud Dev Ops tools
・Ability to use a wide variety of open source technologies and tools
・Comfort with collaboration, open communication and reaching across functional/geographical borders
・8+ years in team management
・Language proficiency: English

Additional Information
・Experience in ML Model development and deployment, Cloud applications, Docker, Kubernetes, JIRA and Confluence
・Language proficiency (written or verbal): Japanese or Chinese.
Renesas Electronics Corporation empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and Io T applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at www.renesas.com.
Renesas’ mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders.
Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, disabilities, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.