Machine Learning Research Mapping Intern

Nissan

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Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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About Nissan

Nissan Motor Company is a multinational automobile manufacturer headquartered in Yokohama, Japan, designing and producing a wide range of vehicles including cars, trucks, SUVs, and electric vehicles under the Nissan and Infiniti brands. Industry: Automotive Manufacturing

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TL;DR · Machine Learning Research Mapping Intern

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JOB TITLE: Machine Learning Research Mapping Intern - Spring 2027 - Santa Clara, CA The Machine Learning Research Mapping Intern - Spring 2027 - Santa Clara, CA joins the autonomous systems research team to advance mobility and autonomous driving technologies. This role focuses on enabling vehicles to maintain accurate road environment understanding by detecting changes like construction, lane shifts, and infrastructure updates. You will develop and evaluate algorithms that compare observed sensor data with existing map information to identify inconsistencies in road geometry and traffic controls. Key responsibilities include large-scale geospatial data analysis, algorithm validation, and performance evaluation. Required skills include proficiency in C++ and/or Python, quantitative data analysis, and experience with large datasets. Preferred qualifications include knowledge of machine learning, computer vision, lidar, radar, GPS/IMU technologies, and cloud computing for automated map maintenance solutions.

Skills

C++ Python Machine Learning Computer Vision Robotics Geospatial Data Analysis Lidar Radar GPS IMU Cloud Computing Algorithm Development Data Validation Simulation Environments Perception Systems Mapping Technologies

What you'll do

Design, develop, and evaluate algorithms to compare vehicle sensor observations with existing map data.
Identify inconsistencies in road geometry and traffic infrastructure using autonomous vehicle datasets.
Analyze road geometry, lane configurations, and traffic controls to detect environmental changes.
Perform large-scale geospatial data analysis and quantitative data processing.
Support the development of automated map maintenance solutions for self-improving maps.
Validate algorithms and evaluate performance metrics for high-definition mapping and perception projects.
Research methods for autonomous vehicles to automatically detect and update road network changes.

What we're looking for

Must be currently enrolled in a Master's or PhD degree program in Computer Science, Electrical Engineering, Robotics, or a related field.
Must maintain a GPA of 3.0 or above.
Must have strong programming skills in C++ and/or Python.
Must have experience working with large datasets and quantitative data analysis.
Must possess strong analytical, problem-solving, and communication skills.
Must be able to perform work onsite in Santa Clara, CA.
Must be legally authorized to work in the United States.
Experience with autonomous driving technologies, robotics, machine learning, or computer vision (preferred).

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