Autonomous Driving ML Research Intern - Scene Reconstruction

Nissan Motor Corporation; Santa Clara (CA); On-site; USD 34,000 - 62,000; Full time

Job summary

Nissan Motor Corporation in Santa Clara, CA is offering a Machine Learning Research Intern position focused on developing scene reconstruction technologies for autonomous driving. You will work on converting multimodal sensor data into structured scene representations for simulation and ML workflows.

The role involves collaborating with researchers across perception, mapping, prediction, and planning teams, with emphasis on Python and ROS, and preference for candidates pursuing Master’s or PhD

Qualifications

• Must be enrolled in a Master’s or PhD in CS, robotics, engineering, ML, AI, or related field.
• Strong Python programming skills; familiarity with C++ is a plus.
• Familiarity with computer vision, ML, robotics, or autonomous systems.
• Experience with ROS, robotics data processing, or sensor-based systems.
• Must be able to work onsite in Santa Clara, CA.

Responsibilities

• Develop software pipelines for processing large-scale autonomous vehicle datasets.
• Fuse and synchronize data from cameras, localization systems, and vehicle-state measurements.
• Reconstruct road geometry, ego vehicle motion, and dynamic traffic participants.
• Design scene representations suitable for simulation, machine learning, and training workflows.
• Develop tools and metrics to assess reconstruction quality, consistency, and performance.
• Collaborate with researchers across perception, mapping, prediction, and planning teams.

Skills

Python

C++

Computer vision

Machine learning

Robotics

Autonomous systems

ROS

Education

Master’s or PhD in CS/Robotics/Engineering

Job description

Nissan Motor Corporation in Santa Clara, CA is offering a Machine Learning Research Intern position focused on developing scene reconstruction technologies for autonomous driving. You will work on converting multimodal sensor data into structured scene representations for simulation and ML workflows.

The role involves collaborating with researchers across perception, mapping, prediction, and planning teams, with emphasis on Python and ROS, and preference for candidates pursuing Master’s or PhD