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Chris Song

Perception Engineer - Deep Learning @ Rivian

Autonomous Driving | Perception | Deep Learning | Sensor Fusion

Menlo Park, California

Ranked #1,033 out of 20,660 for Perception Engineer - Deep Learning in California

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Chris Song's Email Addresses & Phone Numbers

Chris Song's Work Experience

Rivian

Perception Engineer - Deep Learning

May 2018 to August 2018

Faraday Future

Robotics Engineer

July 2016 to September 2017

Greater Los Angeles Area

University of Waterloo

Undergraduate Research Assistant - Manufacturing

January 2015 to April 2015

University of Waterloo Manufacturing Laboratory

Chris Song's Education

York Mills Collegiate Institute

High School Diploma

2008 to 2011

Essex

Carnegie Mellon University

Master's degree, Robotic Systems Developement

2017 to 2018

Chris Song's Professional Skills Radar Chart

Based on our findings, Chris Song is ...

Expedient
Maverick
Insightful

What's on Chris Song's mind?

Based on our findings, Chris Song is ...

52% Left Brained
48% Right Brained

Chris Song's Estimated Salary Range

About Chris Song's Current Company

Rivian

Frequently Asked Questions about Chris Song

What company does Chris Song work for?

Chris Song works for Rivian


What is Chris Song's role at Rivian?

Chris Song is Perception Engineer - Deep Learning


What is Chris Song's personal email address?

Chris Song's personal email address is s****[email protected]


What is Chris Song's business email address?

Chris Song's business email addresses are not available


What is Chris Song's Phone Number?

Chris Song's phone (213) ***-*266


What industry does Chris Song work in?

Chris Song works in the Research industry.


Who are Chris Song's colleagues?

Chris Song's colleagues are Andrea Mariotti, Blanca Villanueva, Owen Liou, Akash Joshi, Emily McNamara, Harish Annavajjala, Jared Jensen, David Zhou, Chi Liu, and Clay Pottorff


About Chris Song

💼 Past Experience

Chris Song has experience in both autonomous driving and perception. His most recent position was as Perception Engineer at Rivian where he was responsible for creating driving algorithms and reviewing machine designs. Song has also worked as a robotics engineer at Faraday Future where he designed and validated automotive grade ECUs. Song has experience in design engineering, hot deformation behaviour and microstructure during hot compression of magnesium alloy. He has also experience in the development of machine design, analog signal analysis, and control systems.


🎓 Education

Chris Song is a graduate of York Mills Collegiate Institute in 2008, where he was a high school student. He then studied at Essex University in the United Kingdom from 2011-2013, where he attained a Master's degree in Theoretical Robotics with Distinction. From 2016-2018, Chris Song obtained a Bachelor's degree in Honours Mechatronics Engineering from the University of Waterloo in Canada.


💡 Technical & Interpersonal Skills

Chris Song's professional, technical, and interpersonal skills:Chris Song has a lot of experience in the areas of autonomous driving, Perception, deep learning, and sensor fusion. He has also worked in the robotics industry, and has experience in the field of manufacturing. Chris Song is also an experienced software developer. He has a lot of experience in communication protocols, and has a good understanding of how to design and review circuits. He is also an experienced mechanical engineer.


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In a nutshell

Chris Song's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

0 year(s), 6 month(s)

Chris Song's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 88% chance that Chris Song is seeking for new opportunities

Chris Song's Social Media Links

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