Renesas Electronics Data Analytics for Silicon Validation Intern \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Analytics for Silicon Validation Intern Intern Employment Type: Intern (INT) Remote Work Available: No Job Description Summer 2026 Internship - May 26 - August 14 Must be currently enrolled full time in a university degree program pursing a bachelor or master degree.  Must not have graduated before September 2026 We are only considering local talent. 100% onsite We are seeking a proactive Post-Silicon Validation Intern to join our team. This role focuses on the critical intersection of high-speed memory validation data science. You will develop an automated, AI-enhanced framework to aggregate and analyze data across Bench, ATE, System, and Module-level testing. Your goal is to overcome format variations and create a unified, comprehensive report on the health and performance of our next-generation DDR memory interfaces. Key Responsibilities DDR Data Correlation: Develop scripts to harmonize disparate data formats from high-speed memory testing (e.g., eye diagrams, jitter analysis, and margin testing). AI-Enhanced Parsing: Apply AI/ML techniques (like NLP or pattern recognition) to automate the parsing of inconsistent log files and overcome variation in test report formats. Unified Reporting: Build automated pipelines that combine data from Bench (characterization), ATE (high-volume), and System/Module (real-world) environments into a single dashboard. Root Cause Support: Assist senior engineers in identifying silicon errata or performance bottlenecks. Metric Development: Define and track key performance indicators (KPIs) for memory stability across various PVT (Process, Voltage, Temperature) corners. The intern project to be impactful, need the candidate to communicate and collaborate cross-functionally with Validation and Design engineers and be responsive to modifying and enhancing the delivered solution based on the received feedback from internal teams Qualifications Education: Currently pursuing a rising senior Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field. Must not have graduated before September 2026 Programming: Strong proficiency in Python for data manipulation (Pandas, NumPy) and automation. Analytical Skills: Ability to transform raw data into clear, actionable technical reports. Preferred Skills & Knowledge Memory Interfaces: Familiarity with DDR4/5 or LPDDR4/5 protocols, including concepts like training, leveling, and signal margins. AI/ML Application: Experience using Scikit-learn or similar libraries for data classification, anomaly detection, or predictive modeling Additional Information The expected hourly pay range for this position is $31.25 - $41.50. This position is also eligible for bonus opportunities. Please note that the final offer amount, including any applicable bonuses, will be dependent on geographic location, relevant experience, and skillset of the candidate. Interns may be eligible for certain Company-provided benefits, which can include sick leave, holiday pay, and medical, dental, and vision insurance. Eligibility and specific benefits will be provided in accordance with Company policy and applicable law. Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, To Make Our Lives Easier. At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make peoples lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating 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, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning. 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The candidate must be currently pursuing a rising senior Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field, and must not have graduated before September 2026. Strong proficiency in Python for data manipulation and automation is required. The ability to transform raw data into clear, actionable technical reports is also necessary. Familiarity with DDR4/5 or LPDDR4/5 protocols and experience using Scikit-learn or similar libraries for data classification, anomaly detection, or predictive modeling are preferred.