Autonomous Systems Intern
Santa Clara, California - United States of America
Full Time Internship Entry-level / Junior USD 88K - 96K
Nissan Motor Corporation
Nissan Motor Corporation Global Website: Visit the site for information about Nissan, sustainability, IR, and innovation. This site also provides various Nissan initiatives, including design, safety, quality, and community engagement.With a focus on Mobility, Operational Excellence, Value to our Customers and the Electrification of vehicles, you can expect to be part of something exciting at Nissan. We exemplify ingenuity in everything we do, from the sleek design of our vehicles to the unique opportunities we offer around the globe. Our people are what drive the business forward and we are looking for researchers who want to challenge themselves, test their skills, develop their talents, and discover their full potential.
We’re currently looking for an Autonomous Systems Research Intern to join our team in June 2024. On our team, we focus on scene understanding, road user prediction, trajectory planning, and autonomous vehicle simulation. Our prediction and planning system is required to produce human-like behavior in challenging real-world scenes including decisive high-speed highway driving to nuanced low-speed city scenes with pedestrians, cyclists, and other vehicles. As a member of the Autonomous Systems team, you will get to research and develop prediction and planning algorithms that scale from simple scenes to complex intersection thereby ensuring predictable, safe, and human-like autonomous vehicle behavior.
Think you’ve got the internal drive to support the production of great vehicles and join a winning team? 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, prediction or planning algorithms
- Be responsible for testing your algorithms in simulation and 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
Welcome to an open lane of possibility. We know you have the capability to change the world, and we want you to help us change the future of automotive. Drive your career forward and join the company leading the technology and business evolution of the automotive industry by applying today.
Nissan is committed to a drug-free workplace. All employment is contingent upon successful completion of a drug screen for roles based in the United States and background screening for all positions.
Salary Range Estimate: $44/hr-$48/hr. This compensation range is provided as a reasonable estimate of the salary range for the job’s grade level. Factors that may be used to determine your actual salary may include, among other things, your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
All of us at Nissan – regardless of functional area or expertise – share a passion to design, manufacture, and sell high-performance vehicles. It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility. **Visa sponsorship for this position is not available at this time.”
Santa Clara California United States of AmericaTags: Computer Science Engineering Mathematics PhD Python Research Testing
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