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Renesas Electronics

AI Research Engineer Intern

Posted Yesterday
In-Office
San Jose, CA, USA
31-48 Hourly
Internship
In-Office
San Jose, CA, USA
31-48 Hourly
Internship
Intern will research and implement video-based driving scene understanding and causal ADAS foundation models, develop risk and trajectory prediction, build counterfactual evaluation pipelines, benchmark and optimize models for deployment on Renesas automotive hardware, and contribute to publications, reports, or patents.
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Job Description

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.

Qualifications

Minimum Qualifications

· Currently pursuing a BS, MS, or PhD in Computer Science, AI, Machine Learning, Robotics, Electrical Engineering, or a related field.

· Strong programming skills in Python.

· Experience with PyTorch or TensorFlow.

· Good understanding of machine learning, deep learning, computer vision, and neural network architectures.

· Strong analytical and problem-solving skills.

· Experience in one or more areas such as Autonomous Driving, Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) Models, World Models, Reinforcement Learning, Causal AI, Multi-modal Learning, Robotics, ONNX, TensorRT, or Edge AI deployment.

What You Will Gain

· Hands-on experience building advanced AI systems for automotive applications.

· Exposure to large-scale autonomous driving datasets and evaluation platforms.

· Opportunity to contribute to research publications, patents, and technical documentation.

· Experience deploying AI workloads on real automotive hardware.

· Mentorship from experts in AI, embedded systems, and autonomous driving.

Deliverables

By the end of the internship, successful candidates are expected to:

· Develop a working prototype of a causal ADAS model or subsystem.

· Benchmark performance against existing baselines.

· Deliver reproducible training and evaluation pipelines.

· Present technical results to engineering leadership.

· Contribute to publication-quality research artifacts or documentation.

Additional Information

The expected hourly pay range for this position is $31.25/hr - $47.75/hr. 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. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

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, military status, veteran status, or any other basis protected by 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.

Renesas Electronics Milpitas, California, USA Office

Milpitas, United States

Renesas Electronics San Jose, California, USA Office

San Jose, United States

Renesas Electronics Santa Clara, California, USA Office

Santa Clara, United States

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