getcruise > getcruise Employee Directory > Kangwei Ling
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Kangwei Ling's Personal Email and Phone Number
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Kangwei Ling
Senior Software Engineer
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Location: San Jose, California, United StatesApprox. Years of Experience: 7
Kangwei Ling's Current Workplace
Cruise
Company Size
2500+
Amount Raised
$15.1B
Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Since our 2013 founding in San Francisco, we have hired over 1,600 talented individuals and opened additional offices in greater Seattle, Pasadena, Phoenix and Munich. We have raised $10B from General Motors, Honda, Microsoft, SoftBank, T. Rowe Price, Walmart and others. Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale, building all-electric, zero-emission, self-driving vehicles that will help save lives, reimagine cities, reduce carbon pollution, redefine time in transit, and restore freedom of movement for individuals who live in dense urban settings. Together, we believe our world-class partners, deep resources, and technology approach of testing in a complex urban environment will help shave years off of our timeline to launch all-electric, self-driving vehicles at scale. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us. getcruise.com/careers.
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Notable Investors
Walmart, Microsoft, Y Combinator, Qualcomm Ventures, SoftBank Vision Fund
Robotics
Software
Hardware
Automotive
Taxi Service
Manufacturing
Transportation
Autonomous Vehicles
Chemical Engineering
Artificial Intelligence
Experience
Senior Software Engineer
Cruise · Full-time
Aug 2023 - Present
1 yr 6 mos
TuSimple
May 2019 - Jul 2023
Senior Software Engineer
Jan 2022 - Jul 2023
1 yr 7 mos
Software Engineer
Mar 2020 - Jan 2022
1 yr 11 mos
Software Engineer Intern
May 2019 - Aug 2019
4 mos
Research Assistant
Shanghai Jiao Tong University
Oct 2016 - Jun 2018
1 yr 9 mos
Utilized unsupervised subword split methods to get finer word representations, which improve machine reading comprehension attention-based deep learning models’ performance on the SQuAD dataset. Managed to use state-of-the-art machine translation methods and models (sequence2sequence models) to improve the performance of the input method engine for Chinese pinyin typing method. Implemented an Attention-over-Attention neural network for machine reading comprehension on Children’s Book Test Dataset, which achieved a comparable result as mentioned in the original paper.
Software Engineer Intern
YITUTech
Jul 2017 - Aug 2017
2 mos
Developed a data encryption module and embedded this module into a large-scale face recognition distributed system to encrypt recognized face features which are sent via remote procedure calls. Developed an operation for binding tasks to machines which allow running tasks on specific machines with customized machine identifiers for the large-scale face recognition distributed system. Tested the data encryption module and binding operation in the final large-scale integration testing.
Software Engineer Intern
INESA R&D CENTER
Mar 2016 - Sep 2016
7 mos
Developed a Python and PHP OpenStack SDK for internal use, based on its HTTP RESTful APIs. Extended the SDK to support internal IoT APIs, including monitoring and alarming functions. Conducted functional tests and performance tests on the developed SDK.
Education
  • 2018 - 2019
    Columbia UniversityMaster of Science - MS, Computer Science
  • 2014 - 2018
    Shanghai Jiao Tong UniversityBachelor of Science - BS, Computer Science
  • 2011 - 2014
    Shenzhen Middle School