The Programme

Translate your education and talent into a career fueled by possibilities. Develop your skills and expand your opportunities with access to the industry's leading talent, training, and technology. You’ll be contributing your expertise to help reshape information, communication, and innovation around the globe.

Innovation is the lifeblood of our business. Our ability to compete and win in the memory market depends on a free flow of ideas and perspectives at all levels of the business. Inclusion allows creativity and innovation to thrive and empowers us to make the best decisions for all our people and our company.

At Micron, our people are our most important resource and a critical driver of our competitive advantage. We believe our best innovation springs from our team members' diverse experiences, perspectives and backgrounds. We are passionate about creating a diverse and inclusive environment, representative of our communities and the customers we serve.

What You Will Do

Computer Vision / Machine Learning Engineer Intern - Autonomous Vehicles:

Design and implement visual & LiDAR detection and tracking pipeline in autonomous driving software system.
Work closely with the algorithm team to design the specifications for the perception module.
Design and collect datasets for training.
Research and test various methods and implement a robust solution on the vehicle.
Test, debug and troubleshoot software-related issues.
Plan and conduct tests (control, failsafe, drive test, etc.) on vehicles to ensure functionality and road-worthiness.
Analyze test data and provide recommendations.

Requirements:

Computer Science / Computer Engineering / Electrical Engineering undergraduates or relevant experiences.
Python, C++, Tensorflow/PyTorch, OpenCV, PCL, etc. Git, CMake tools.
Hands-on experience with CNN models.
Familiar with Linux systems (Ubuntu) and the configuration of the system environment.
Analytical problem-solving skill.
Ability to work in dynamic and cross-functional “start-up” environments.
Self-driven learning attitudes and ability to work independently.
Familiarity with sensor perception, sensor fusion. Familiar with Robotic Operating System (ROS) middleware.

Robotics Algorithm Engineer Intern - Autonomous Vehicles:

Design and develop system architecture of autonomous driving software.
Implement and optimize algorithms in autonomous driving (perception, SLAM, planning, control).
Research on various algorithms, select the most suitable solution and implement it on the vehicle.
Work closely with other teams and responsible for the overall system integration.
Test, debug and troubleshoot software-related issues.
Plan and conduct tests (control, failsafe, drive test, etc.) on vehicles to ensure functionality and road-worthiness.
Analyze test data and provide recommendations.

Requirements:

Computer Science / Computer Engineering / Electrical Engineering undergraduates or relevant experiences.
C++ (preferred), Python, Git, CMake tools.
Experience with software development.
Analytical problem-solving skill.
Ability to work in dynamic and cross-functional “start-up” environments.
Self-driven learning attitudes and ability to work independently.
Familiarity with control theory, planning, and localization. Familiar with Linux systems (Ubuntu).
Familiar with Robotic Operating System (ROS) middleware.

Software Engineer Intern - Autonomous Vehicles:

Design and implement the graphical user interface (GUI) on the vehicle.
Develop a web app with online booking service for the autonomous vehicle service.
Improve on the in-vehicle user interface.
Test, debug and troubleshoot software-related issues.
Plan and conduct tests (control, failsafe, drive test, etc.) on vehicles to ensure functionality and road-worthiness.
Analyze test data and provide recommendations.

Requirements:

Computer Science / Computer Engineering / Electrical Engineering undergraduates or relevant experiences.
C++, JavaScript, Git, CMake tools.
Experience with software development.
Analytical problem-solving skill.
Ability to work in dynamic and cross-functional “start-up” environments.
Self-driven learning attitudes and ability to work independently.
Familiarity with control theory, path planning and localization.
Familiar with Linux systems (Ubuntu). Familiar with Robotic Operating System (ROS) middleware.
Familiar with web-development, cloud service architecture and UI design.