Autonomous Mapping Research Intern (ML for Self-Driving)

Nissan Motor Corporation; Santa Clara (CA); On-site; USD 21,000 - 34,000; Part time

Benefits offered by this job

Paid internship stipend

Mentorship program

Job summary

Nissan Motor Corporation in Santa Clara, CA is seeking an Autonomous Systems Research Intern to explore high-definition mapping for autonomous vehicles. You will join a team that develops mapping and perception algorithms, compares sensor data with existing maps, and works toward automated map maintenance.

Ideal candidates are enrolled in a Master’s or PhD with strong C++/Python skills, experience with large datasets, and a collaborative mindset to advance mobility technologies.

Qualifications

• Must be enrolled in a Master’s or PhD degree program in CS, EE, Robotics or related field.
• GPA 3.0+; official transcript may be required for verification.
• Strong programming in C++ and Python; experience with large datasets.
• Excellent analytical and communication skills; collaborative mindset.

Responsibilities

• Develop and evaluate mapping and perception algorithms for autonomous vehicles.
• Compare sensor observations with existing map data and detect inconsistencies.
• Contribute to automated map maintenance and self-improving maps.
• Analyze road geometry and infrastructure changes using AV datasets.
• Collaborate with researchers and engineers on advanced mapping projects.

Skills

C++

Python

Data analysis

Team collaboration

Communication skills

Education

Master’s or PhD in Computer Science, Electrical Engineering, Robotics

Tools

Geospatial data processing

Sensor data processing

Job description

Nissan Motor Corporation in Santa Clara, CA is seeking an Autonomous Systems Research Intern to explore high-definition mapping for autonomous vehicles. You will join a team that develops mapping and perception algorithms, compares sensor data with existing maps, and works toward automated map maintenance.

Ideal candidates are enrolled in a Master’s or PhD with strong C++/Python skills, experience with large datasets, and a collaborative mindset to advance mobility technologies.