Autonomous Research InternAt — Nissan North America

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Opportunity Summary 

Job Description At the Alliance Innovation Lab – Silicon Valley (AIL–SV), we bring artificial intelligence (AI) to mobility. From developing autonomous driving systems to designing life on board experiences, our researchers apply AI technology to improve mobility for everybody. We are exploring the cutting edge of artificial intelligence and robotics, including sensing, perception, mapping, prediction, planning, decision making, and control, to lay the groundwork for the future of mobility. We’re currently looking for an Autonomous Systems Research Intern to join our team in September 2022. Think you’ve got the internal drive to support the production of great vehicles and join a winning team? Welcome to an open lane of possibility. Apply for this position and start the process to kick your career into high gear. During the course of your internship, you will have the chance to: Develop state-of-the-art perception algorithms Develop algorithms for scene understanding and prediction Develop fundamental proactive planning technologies Responsible for: Test and analyze algorithms on real-world vehicles Engage with other Autonomous Vehicle researchers In order to qualify for this role, you must: Currently be pursuing a Master’s or PhD degree in Mechanical, Electrical, or Software Engineering, Computer Science, Applied Mathematics, or a related field GPA of 3.0 or above Strong C++ or python coding ability Strong organization ability with keen attention to detail Be self-motivated and willing to challenge yourself to develop your talents and skillsets Strong communication skills both written and oral

Opportunity Learning Outcomes 

Develop state-of-the-art perception algorithms Develop algorithms for scene understanding and prediction Develop fundamental proactive planning technologies

Opportunity Training 

Training to learn the job responsibilities.

Additional risk specific to this opportunity 

n/a

Program 
Internships
Location Type 
Hybrid (combination of on-site and remote)
Location 
Santa Clara, CA
United States
Expected Hours 
HoursDuration
20hours per week
Students required to have a personal vehicle 
Yes
Fees students may incur with this opportunity 
No Fees will be incurred by students
This opportunity provides some form of compensation 
Yes
Opportunity Availability 
Ongoing