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Based on 240 similar postings.
Employer
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
The AI Robotics Research Intern joins the Manufacturing Robotics and Materials Informatics teams to develop AI-enabled robotic systems for laboratory automation and next-generation materials research. In this role, you will design, prototype, program, and validate intelligent robotic systems that operate alongside researchers. Daily responsibilities include developing perception, motion control, and machine learning algorithms for robotic and humanoid systems while supporting simulation development, hardware integration, and system testing. You will utilize Python, C/C++, and ROS-based frameworks, including ROS2, while applying techniques such as computer vision, sensor fusion, reinforcement learning, and deep learning. The work focuses on solving laboratory automation challenges to accelerate materials research and experimentation by improving robotic system performance, reliability, and usability within a multidisciplinary engineering and research environment.
Design, prototype, and test intelligent robotic systems for laboratory automation and research.
Develop perception, motion control, and machine learning algorithms for robotic and humanoid systems.
Implement software solutions using Python, C/C++, and ROS-based frameworks.
Support simulation development, hardware integration, system testing, and validation activities.
Contribute to laboratory automation workflows to accelerate materials research and experimentation.
Improve robotic system performance, reliability, and usability through cross-functional collaboration.
What we're looking for
Must be currently enrolled in a Master's degree program in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aeronautics, Mathematics, or a related field.
Experience with robotics systems, controls, perception, automation, or IoT technologies.
Strong programming skills in Python, C/C++, and Robot Operating System (ROS).
Experience with AI development tools and machine learning techniques.
Strong problem-solving, analytical, and system integration skills.
Strong written and verbal communication skills.
GPA of 3.0 or above.
Ability to perform work onsite in Santa Clara, CA.
Experience with robotic manipulation, mobile robotics, humanoid robotics, or autonomous systems (preferred).
Familiarity with computer vision, sensor fusion, reinforcement learning, or deep learning techniques (preferred).
Experience with simulation platforms such as Gazebo, Isaac Sim, ROS2, or similar robotics frameworks (preferred).
Experience integrating hardware, sensors, actuators, and embedded systems (preferred).
Must be legally authorized to work in the United States.
Python
C++
CUDA
PyTorch
JAX
ROS2
Isaac Sim
Isaac Lab
MuJoCo
Reinforcement Learning
Imitation Learning
Computer Vision
Sim-to-Real
Robot Foundation Models
Warp
Deep Learning
Model Training
VLAs
Machine Learning
Computer Vision
Python
C++
PyTorch
TensorFlow
ROS
Linux
Object Detection
Object Tracking
Semantic Segmentation
3D Perception
Data Mining
Data Visualization
LiDAR
Radar
Autonomous Driving Systems
Machine Learning
Python
C++
ROS
Linux
Sensor Fusion
LiDAR
Radar
Data Analytics
Robotics
Autonomous Driving Systems
Experimental Design
Perception Algorithms