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Packaging Engineer Intern Jobs in California (NOW HIRING)

AI Research Engineer Intern

San Jose, CA ยท On-site

$31.25 - $47.75/hr

  • Medical

  • Dental

  • Vision

Internship Overview The selected intern will work on developing a Causal ADAS Foundation Model that ... We believe in rewarding our employees with a competitive benefits package alongside their salary.

$40/hr

  • Medical

  • Retirement

As a software intern, you will work closely with your mentor and other employees who will help you ... Pay is just one part of your total rewards package at SpaceX. You may also be eligible for a ...

$40/hr

  • Medical

  • Retirement

As a software intern, you will work closely with your mentor and other employees who will help you ... Pay is just one part of your total rewards package at SpaceX. You may also be eligible for a ...

Showing results 21-40

Packaging Engineer Intern information

See California salary details

$10

$19

$29

How much do packaging engineer intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for packaging engineer intern in California is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What does a packaging engineer intern do?

A Packaging Engineer Intern supports the design, testing, and development of packaging solutions for products. They collaborate with engineering teams to improve packaging efficiency, sustainability, and cost-effectiveness. Responsibilities may include material selection, prototyping, and conducting tests to ensure packaging meets quality and regulatory standards. Interns may also assist in troubleshooting packaging issues and optimizing production processes. This role provides hands-on experience in the packaging industry and insight into real-world engineering challenges.

What types of projects or tasks can a packaging engineer intern expect to work on during their internship?

As a Packaging Engineer Intern, you can expect to be involved in projects such as designing package prototypes, conducting performance and durability testing, analyzing packaging materials, and supporting the implementation of cost-saving or sustainability initiatives. You may collaborate with cross-functional teams including manufacturing, quality, and logistics to ensure packaging solutions meet both technical and commercial requirements. Interns often assist with documentation, data analysis, and generating reports to recommend improvements. This hands-on experience enables interns to develop practical engineering skills and gain exposure to the collaborative workflow typical in packaging development teams.

What are the key skills and qualifications needed to thrive in the packaging engineer intern position, and why are they important?

A Packaging Engineer Intern should possess foundational knowledge in engineering, material science, or a related field, often obtained through coursework or relevant projects. Familiarity with CAD software, packaging design tools, and basic testing equipment is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and contribute to team projects. These skills ensure the intern can support the design, testing, and improvement of packaging solutions in a dynamic workplace.

What are the most commonly searched types of Packaging Engineer jobs in California?

The most popular types of Packaging Engineer jobs in California are:

What job categories do people searching Packaging Engineer Intern jobs in California look for?

The top searched job categories for Packaging Engineer Intern jobs in California are:

What cities in California are hiring for Packaging Engineer Intern jobs?

Cities in California with the most Packaging Engineer Intern job openings:

Infographic showing various Packaging Engineer Intern job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $39,648 per year, or $19.1 per hour.

AI Research Engineer Intern

Renesas Electronics

San Jose, CA โ€ข On-site

$31.25 - $47.75/hr

Full-time, Internship

Medical, Dental, Vision

This job post hasย expired today.ย Applications are no longer accepted.


Job 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 eligibleย 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.ย 

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 providedย in accordance withย Company policy and applicable law.ย 

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 worldleading 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 ourย 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.