AI Research Engineer Intern

Internship - 3-6 months (start date asap) and extendable San Jose, CA - Hybrid About Renesas Renesas Electronics is a global leader in embedded semiconductor solutions, enabling connected and intelligent devices across automotive, industrial, and IoT markets. The Gen5 Model Development team is advancing next-generation AI systems for automotive applications, with a focus on foundation models, causal reasoning, video understanding, and deployment on edge automotive SoCs. We are seeking motivated AI research interns to help develop advanced AI technologies for ADAS and autonomous driving. Internship Overview The selected intern will work on developing a Causal ADAS Foundation Model that can understand complex driving scenes, identify causally relevant agents, predict future risk, and support safer trajectory planning. This internship combines research and engineering across autonomous driving, video foundation models, multi-modal AI, causal reasoning, risk prediction, trajectory planning, and edge AI deployment. Interns will collaborate with researchers and engineers on work that may lead to publications, patents, and deployment on Renesas automotive platforms. Key Responsibilities · Develop and evaluate AI models for video-based driving scene understanding. · Design methods to identify causal factors influencing driving decisions. · Build models for risk prediction, collision forecasting, and safety assessment. · Develop trajectory prediction and planning models for ADAS applications. · Create counterfactual and intervention-based evaluation pipelines. · Benchmark models against state-of-the-art open-source and commercial baselines. · Optimize models for deployment on Renesas automotive hardware platforms. · Document findings and contribute to technical reports, publications, or patent disclosures. Minimum Qualifications · Currently pursuing a BS, MS, or PhD in Computer Science, AI, Machine Learning, Robotics, Electrical Engineering, or a related field. · Strong prog