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Research Engineer Intern Jobs (NOW HIRING)

The support engineer intern may also be asked to research new technologies or ways to optimize current tasks.The support engineer intern will also be expected to study for and complete examinations ...

The support engineer intern may also be asked to research new technologies or ways to optimize current tasks. The support engineer intern will also be expected to study for and complete examinations ...

The support engineer intern may also be asked to research new technologies or ways to optimize current tasks. The support engineer intern will also be expected to study for and complete examinations ...

The support engineer intern may also be asked to research new technologies or ways to optimize current tasks.The support engineer intern will also be expected to study for and complete examinations ...

Position Summary Canopy Technologies is seeking exceptional engineering students to join our team as R&D Engineering Intern for Fall 2026. As an intern, you will work closely with experienced ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Position Summary Canopy Technologies is seeking exceptional engineering students to join our team as R&D Engineering Intern for Fall 2026. As an intern, you will work closely with experienced ...

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Research Engineer Intern information

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$11

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How much do research engineer intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for research engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a research engineer intern?

To thrive as a Research Engineer Intern, you generally need a solid background in engineering principles, data analysis, and problem-solving, typically supported by progress toward a relevant STEM degree. Familiarity with technical tools such as MATLAB, Python, simulation software, and laboratory equipment is often required. Strong communication, initiative, and teamwork skills help interns effectively contribute to research projects and collaborate with senior engineers. These skills and qualities are crucial for applying theoretical knowledge to practical challenges and making meaningful contributions in a research-driven environment.

What does a research engineer intern do?

A Research Engineer Intern assists in the development, testing, and analysis of new technologies, products, or processes under the guidance of senior engineers and researchers. Their work may involve conducting experiments, collecting and analyzing data, building prototypes, and documenting results. The role is typically hands-on and collaborative, offering interns the chance to apply theoretical knowledge from their studies to real-world engineering problems. Research Engineer Interns also gain valuable experience with industry tools and methodologies, and often contribute to ongoing research projects. This position is ideal for students or recent graduates seeking practical experience in engineering research.

What types of projects can a research engineer intern expect to work on, and how much autonomy is typically given?

As a Research Engineer Intern, you can expect to work on a range of projects that may include developing prototypes, running experiments, or analyzing large datasets to support ongoing research initiatives. Interns often collaborate closely with experienced engineers and researchers, and while tasks may start with guidance, you’ll likely gain more autonomy as you demonstrate your abilities. Many organizations encourage interns to take ownership of a specific component or project deliverable, providing both mentorship and the opportunity to contribute meaningfully to published research or product development.
More about Research Engineer Intern jobs
What cities are hiring for Research Engineer Intern jobs? Cities with the most Research Engineer Intern job openings:
What are the most commonly searched types of Research Engineer jobs? The most popular types of Research Engineer jobs are:
What states have the most Research Engineer Intern jobs? States with the most job openings for Research Engineer Intern jobs include:
Infographic showing various Research Engineer Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

AI Research Engineer Intern

Renesas Electronics

San Jose, CA • On-site

$31.25 - $47.75/hr

Full-time, Internship

Medical, Dental, Vision

Posted 20 days ago


Job description

Company Description
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.
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