Job Description
At Renesas, we design, develop and manufacture leading-edge semiconductor solutions for our customers. Our team is looking to modernize and transform the way we approach automation in our manufacturing processes. We are seeking a motivated and driven computer science student to join us for a summer internship, where you will have the opportunity to apply your skills in Semiconductor factory automation to real-world manufacturing challenges. This position is onsite Monday through Friday from 8 : 00am to 5 : 00pm in Palm Bay, FL.
Job Description : As a Summer Intern at Renesas, you will be working alongside a team of engineers to develop semiconductor factory automation-driven solutions that enhance automation in our manufacturing systems. You will gain hands-on experience in applying Semiconductor factory automation techniques to improve processes such as quality control, production optimization, and resource management.
Key Responsibilities :
- Collaborate with senior engineers to understand current manufacturing processes and identify opportunities for semiconductor factory automation implementation.
- Assist in the design, development, and deployment of semiconductor factory automation and algorithms to automate and optimize production systems.
- Support the integration of semiconductor factory automation tools into existing manufacturing systems and workflows.
- Conduct data analysis to assess the performance of semiconductor factory automation and recommend improvements.
- Document and present findings to the team.
Qualifications
Qualifications :
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.Strong knowledge of programming languages such as Python, Java, or C++.Familiarity with AI / ML frameworks and libraries.Experience with data analysis and machine learning model development.Strong problem-solving skills and ability to work independently and as part of a team.A strong interest in semiconductor factory automation applications in industrial or manufacturing environments.US Person due to ITAR requirementsPreferred Skills (not required but a plus) :
Knowledge of automation systems in a manufacturing setting.Familiarity with data visualization tools and techniques.Experience with cloud computing platforms (AWS, Google Cloud, Azure).