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Lidar Internship Jobs (NOW HIRING)

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ... Cameras, LiDAR, and Radar. • Fluency in PyTorch or JAX for training large-scale models. • ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ... Cameras, LiDAR, and Radar. • Fluency in PyTorch or JAX for training large-scale models. • ...

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Lidar Internship information

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How much do lidar internship jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for lidar internship in the United States is $17.31, 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 are the key skills and qualifications needed to thrive as a lidar intern, and why are they important?

To thrive as a Lidar Intern, you need a solid background in engineering, physics, or geospatial sciences, along with coursework or experience in remote sensing and data analysis. Familiarity with Lidar processing software (such as LAStools or TerraScan), GIS platforms, and programming languages like Python or MATLAB is often required. Strong analytical thinking, attention to detail, and effective communication skills help interns excel when interpreting complex datasets and collaborating with team members. These skills and qualities ensure accurate data processing, meaningful insights, and successful project outcomes in Lidar applications.

What types of projects and technologies can I expect to work with during a lidar internship?

As a Lidar intern, you will typically work on projects involving data collection, processing, and analysis using Lidar sensors and related software. You may assist in tasks such as calibrating hardware, analyzing point cloud data, supporting field surveys, or developing algorithms for object detection and classification. Interns often collaborate closely with engineers, data scientists, and GIS specialists, gaining exposure to industry-standard tools like Python, MATLAB, or specialized Lidar software. This hands-on experience provides valuable insight into real-world applications of Lidar technology and can help build a strong foundation for a career in geospatial science, robotics, or autonomous vehicles.

What is the difference between Lidar Internship vs Lidar Technician?

AspectLidar InternshipLidar Technician
CredentialsTypically pursuing or recent graduate in engineering, GIS, or related fieldRelevant certifications or experience in lidar data collection and processing
Work EnvironmentInternship setting, often in research labs or field projects under supervisionFieldwork and data processing in outdoor or industrial environments
Industry UsageEducational, training, and entry-level project rolesOperational roles in surveying, mapping, or infrastructure projects

The main difference is that a Lidar Internship is an entry-level, educational position designed for students or recent graduates to gain experience, while a Lidar Technician is a more experienced role focused on data collection, processing, and operational tasks in lidar projects.

What is a lidar internship?

A Lidar internship is a temporary position for students or recent graduates to gain hands-on experience working with Light Detection and Ranging (Lidar) technology. Interns typically assist with collecting, processing, and analyzing Lidar data used in mapping, autonomous vehicles, environmental monitoring, and other applications. The internship provides practical skills in using specialized software and hardware, and exposure to real-world projects in geospatial science, engineering, or related fields. It is a valuable opportunity to build technical expertise, network with professionals, and enhance your resume for future job prospects.
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Infographic showing various Lidar Internship job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Internship - Multi-Modal Sensing and Understanding

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Full-time, Internship

Medical

Re-posted 12 days ago


Job description

The Computational Sensing team at MERL is seeking a highly motivated intern to conduct fundamental research on multi-modal sensing and understanding -algorithms that can understand, explain, and act on multi-sensor data (e.g., RF, infrared, LiDAR, event camera). Ideal candidates will be comfortable bridging state-of-the-art perception (detection/segmentation/tracking) with higher-level semantic understanding and reasoning capabilities. Experience with text, visual, and multimodal reasoning is a plus. The intern will work closely with MERL researchers to develop novel algorithms, design experiments using MERL's in-house testbeds, and prepare results for patents and publication. The internship is expected to last 3 months, with a flexible start date.
Required Specific Experience
  • Expertise in physical sensing across RF (radar, UWB, Wi-Fi), infrared, LiDAR, and event-camera modalities. Experienced with radar systems and concepts including FMCW and MIMO configurations, Doppler signature interpretation, radar point cloud and heatmap representations, and raw ADC waveforms;
  • Solid understanding of state-of-the-art transformer-based (e.g., DETR) and diffusion-based (e.g., DiffusionDet) frameworks;
  • Demonstrated work in text-, visual-, and multimodal semantic understanding and reasoning.
  • Hands-on experience with open large-scale multi-sensor datasets (e.g., nuScenes, Waymo Open Dataset, Argoverse) and open radar datasets (e.g., MMVR, HIBER, RT-Pose, K-Radar).
  • Proficiency in Python and deep learning frameworks (PyTorch/JAX), plus experience with GPU cluster job scheduling and scalable data pipelines.
  • Proven publication record in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML (or equivalent).

The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered "at-will," and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.