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Adas Intern Jobs (NOW HIRING)

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Knowledge of autonomous driving concepts, Operational Design Domains (ODDs), ADAS systems, or NHTSA safety guidelines. * Formal Logic/Rules Engines: Exposure to formal logic, deontic logic, or ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA

$19 - $65/hr

Knowledge of autonomous driving concepts, Operational Design Domains (ODDs), ADAS systems, or NHTSA safety guidelines. * Formal Logic/Rules Engines: Exposure to formal logic, deontic logic, or ...

Nexteer Automotive Corporation

Engineering Co-Op

Saginaw, MI · On-site

$15.50 - $20.25/hr

Our innovative product portfolio includes Electric Power Steering (EPS), Steer-by-Wire™, Driveline, and Advanced Driver Assistance Systems (ADAS) technologies that support electrification, software ...

Nexteer Automotive Corporation

Engineering Co-Op

Saginaw, MI

$15.50 - $20.25/hr

Our innovative product portfolio includes Electric Power Steering (EPS), Steer-by-Wire™, Driveline, and Advanced Driver Assistance Systems (ADAS) technologies that support electrification, software ...

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Adas Intern information

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How much do adas intern jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for adas intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the ADAS system in a car?

An ADAS (Advanced Driver Assistance System) in a car includes electronic systems that help improve vehicle safety and driving comfort, such as adaptive cruise control, lane departure warning, and automatic emergency braking. As an ADAS intern, understanding these systems involves working with sensors, cameras, and software algorithms to develop or test these safety features.

What is the difference between Adas Intern vs Automotive Software Intern?

AspectAdas InternAutomotive Software Intern
Required CredentialsRelevant coursework, basic programming skills, some knowledge of automotive systemsProgramming skills, software development experience, possibly related coursework
Work EnvironmentAutomotive R&D labs, testing facilities, engineering teamsSoftware development teams, automotive companies, tech labs
Industry UsageFocuses on advanced driver-assistance systems developmentBroader automotive software projects, including embedded systems

The Adas Intern role specifically targets projects related to driver-assistance technologies, requiring knowledge of automotive systems. In contrast, the Automotive Software Intern has a broader scope in automotive software development, not limited to ADAS. Both roles involve programming and collaboration within automotive companies, but Adas Interns focus more on safety systems and sensor integration.

What are the key skills and qualifications needed to thrive as an ADAS Intern, and why are they important?

To thrive as an ADAS Intern, you need foundational knowledge in engineering, computer science, or a related field, with coursework or experience in areas like sensor technology, image processing, or automotive systems. Familiarity with tools such as MATLAB, Python, C++, and automotive simulation platforms, as well as version control systems like Git, is typically required. Analytical thinking, effective communication, and a willingness to learn are crucial soft skills that help you collaborate and adapt in a dynamic R&D environment. These competencies are vital for contributing to the development and testing of advanced driver-assistance systems, ensuring accuracy, safety, and innovation in automotive technology.

What does ADAS stand for?

ADAS stands for Advanced Driver Assistance Systems, which are electronic systems in vehicles designed to improve safety and driving comfort. As an ADAS Intern, understanding these systems involves knowledge of sensors, cameras, and software used to enable features like lane departure warnings and automatic braking.

What does an ADAS Intern do?

An ADAS Intern supports the development and testing of Advanced Driver Assistance Systems, which are technologies that help drivers drive safely and efficiently. Their work may involve data collection, analysis, software testing, and assisting with sensor integration such as radar, lidar, and cameras. ADAS Interns often collaborate with engineers to improve features like lane-keeping, adaptive cruise control, and automatic emergency braking. This internship provides hands-on experience with cutting-edge automotive technology and the opportunity to contribute to the future of vehicle safety.

How do I know if my car has an ADAS system?

As an ADAS intern, you can identify if a car has an Advanced Driver Assistance System (ADAS) by checking the vehicle's owner’s manual, inspecting for sensors like cameras or radar modules on the windshield or bumpers, or using diagnostic tools that detect ADAS features. Many modern vehicles with features such as adaptive cruise control or lane-keeping assist are equipped with ADAS technology.

What types of projects or tasks can an ADAS Intern expect to work on during their internship?

As an ADAS Intern, you can expect to be involved in a variety of hands-on projects that support the development and testing of Advanced Driver Assistance Systems, such as lane-keeping, adaptive cruise control, or sensor data analysis. Typical responsibilities may include assisting with data collection using vehicles equipped with sensors, supporting software testing and validation, and contributing to the analysis of system performance. You’ll likely collaborate closely with experienced engineers, software developers, and testing teams, gaining practical experience in both the technical and collaborative aspects of the role. This exposure provides an excellent foundation for understanding the automotive technology landscape and can open pathways to more advanced roles in the field.

Is Tesla ads or ADAS?

Tesla's ADAS (Advanced Driver Assistance Systems) includes features like Autopilot and Full Self-Driving, which are designed to assist drivers and enable semi-autonomous driving. Tesla does not primarily focus on advertising but on developing and deploying ADAS technology in its vehicles, which requires knowledge of automotive systems, sensors, and software engineering. An Adas Intern may work on improving these systems or supporting their integration.
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Adas Intern jobs near you
Infographic showing various Adas Intern job openings in the United States as of June 2026, with employment types broken down into 71% Internship, 3% As Needed, and 26% Full Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Perception Intern

Mitsubishi Electric Automotive America, Inc.

Detroit, MI • On-site

$14.75 - $19.75/hr

Internship

Posted 18 days ago

Key responsibilities

  • Research, benchmark, and test implementations of deep learning models for LiDAR-based object detection and segmentation.

  • Assist in collecting, preprocessing, and analyzing camera and LiDAR data for model development and testing.

  • Support the implementation and evaluation of deep learning models for LiDAR point clouds and contribute to the development of perception algorithms that combine LiDAR and camera data.

Job description

Known for our innovative components, Mitsubishi Electric Automotive America manufactures autonomous-ready infotainment and ADAS solutions, premium audio systems, high-definition displays, and powertrain electronics for standard, electric, and hybrid vehicles. Since 1979 we have served the major automotive, heavy-duty truck, and coach manufacturers across the US, and continue to grow each year! Be a part of a select team that is making a real impact on the automotive mobility of tomorrow!
Summary
Work closely with experienced professionals in their chosen field to apply what is learned in the classroom to real-life work situations. Under supervision, they will assist team members or directly perform day-to-day departmental functions and projects. They will gain an enhanced understanding of their field and the automotive manufacturing industry, laying the foundation for a successful career.
Responsibilities
  • Research, benchmark, and test implementations of state-of-the-art deep learning models for LiDAR-based object detection and segmentation.
  • Assist in improving LiDAR detection performance, particularly for complex surfaces, through literature review and experimental evaluation.
  • Support the implementation and evaluation of deep learning models for LiDAR point clouds (e.g., PointNet, PointNet++, and other 3D architectures).
  • Contribute to the development and assessment of perception algorithms that combine LiDAR and camera data under supervision.
  • Help collect, preprocess, and analyze camera and LiDAR data for model development and testing.
  • Experiment with open-source toolkits such as Open3D and PCL for point cloud processing and visualization.
  • Assist in creating scripts and small pipelines for data preparation and result analysis (using Python, NumPy, OpenCV, etc.).
  • Participate in code reviews, documentation, and team meetings to learn best practices in research and development.
  • Stay current with recent advancements in LiDAR perception and deep learning by reading and summarizing relevant scientific papers.

The above description represents the most significant essential duties of this position but does not exclude other occasional work assignments not mentioned.
Qualifications
  • Current enrollment in a Bachelor's, Master's, or Ph.D. program in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Coursework or project-based experience in computer vision, deep learning, or robotics.
  • Familiarity with at least one deep learning framework (e.g., PyTorch or TensorFlow).
  • Understanding of fundamentals in data analysis, 3D geometry, and point cloud processing.
  • Exposure to LiDAR data and/or related libraries (Open3D, PCL).
  • Programming experience in Python. Familiarity with C++ is an advantage.
  • Ability to conduct literature surveys and summarize technical concepts accessibly.
  • Strong problem-solving and communication skills, and enthusiasm for hands-on learning in a collaborative team environment.

To the extent that such laws prohibit discrimination and harassment, MEAA shall not discriminate against any applicant, associate, vendor, contractor, customer, or client on the basis of age, race, color, religion, creed, ancestry, national origin, citizenship status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, physical or mental disability, medical condition (as defined by applicable law), genetic information, military or veterans' status or any other basis prohibited by law.
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Applicants with a disability who need assistance with the application process may contact Human Resources by email at employment@meaa.mea.com or by calling 1-800-275-5077.

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