INTERNSHIP DETAILS

Perception Intern

CompanyMitsubishi Electric Automotive
LocationDetroit
Work ModeOn Site
PostedJune 10, 2026
Internship Information
Core Responsibilities
Research and implement state-of-the-art deep learning models for LiDAR-based object detection and segmentation. Support the development of perception algorithms combining LiDAR and camera data while managing data preprocessing and analysis pipelines.
Internship Type
full time
Company Size
427
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Mitsubishi Electric is a consistently dependable supplier that creates high-quality in-car systems for major OEMs around the world. Known for our innovative components, we leverage our deep technology expertise to deliver autonomous-ready and ADAS solutions, premium audio systems, high-definition displays, and powertrain electronics for standard, EV, and hybrid vehicles. Our innovation culture and operational excellence, which extends far beyond automotive, makes us uniquely poised to help automakers navigate the future of mobility. Mitsubishi Electric has had a North American presence since 1979 and currently operates in 50 locations.
About the Role

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. 
Click here to view the EEO is The Law Poster and the supplement.  
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.

Key Skills
Deep LearningLiDARComputer VisionPythonPyTorchTensorFlowOpen3DPCLC++Point Cloud ProcessingObject DetectionSegmentationNumPyOpenCV3D GeometryData Analysis
Categories
EngineeringTechnologySoftwareScience & ResearchManufacturing