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Chulong Chen

Chulong Chen

AI Research Manager

Technology / Internet

San Jose, Santa Clara

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About Chulong Chen:

Senior Engineering Manager @ Waymo | Ph.D. in Electrical & Computer Engineering

Experience

Senior Engineering Manger, Simulation with ML/GenAI
Waymo · 2025 - Present 


 Senior Principal Engineer Manager, Next Generation Autonomy
Senior Principal Engineer Manager, Next Generation Autonomy
Motional · 2023  to  Jan 2025 
Milpitas, California, United States · 
 - Lead and manage the Next Generation Autonomy team to deliver cutting-edge solutions for autonomous driving systems.
 - Pioneer and execute the transition from a LiDAR-first perception approach to a Radar-Vision first end-to-end sensing-perception paradigm.
 - Deliver a robust solution for a radar pipeline that emulates LiDAR capabilities, optimizing for performance, cost, and scalability.
 - Foster innovation and continuous improvement, keeping abreast of the latest advancements in perception systems and autonomous technology.
 - Collaborate cross-functionally for the development and scaling of an autonomous system encompassing data collection, model training, validation, and deployment.
 - Align with engineering, product, and other teams to ensure alignment and achievement of company goals.
 - Define, monitor, and analyze metrics to evaluate the effectiveness and quality of sensing and perception systems.
 
 

 TLM, Perception
TLM, Perception
Nuro · 2021 - 2022 


Intel Corporation
Intel Corporation


   Research Scientist AI/ML
Research Scientist AI/ML
Full-timeFull-time  2017 - 2021 · 4 yrs2017 to 2021 · 4 yrs  San Francisco Bay AreaSan Francisco Bay Area

 - Founding scientist of Intel’s high-resolution automotive radar program*. Inventor of Intel’s key patents in AI-enabled 4D high-resolution radar
 - Lead the research project of AI radar perception system enabling “drive-by radar” capability
 - Designed Intel’s first 79 GHz perception-ready imaging radar’s system specification, architectures, waveform, and DSP algorithms.
 - Developed ray-tracing based end-to-end radar simulation pipeline for modeling/tradeoff of RF, algorithms and perception dataset generation.
 * Nominated 2021 Gordy Awards for pioneering works in the development of imaging radar system and radar perception pipeline
 
   
Wireless Systems Engineer
Wireless Systems Engineer
2016 - 2017 ·
 - Architect and designed of advanced wireless physical layer (PHY) air interface for NR-5G standard
 - Designed advanced PHY and MAC algorithms for world's first 5G MTP achieving 1.6Gbps link speed
 - Pioneered the introduction of ML methods in 5G PHY layer
 - Led the development of 5G link-level simulator
 
 
 
 

Education

Purdue University
Ph.D., Electrical and Electronics EngineeringPh.D., Electrical and Electronics Engineering
2011 - 2013
Activities and societies: Eta Kappa NuActivities and societies: Eta Kappa Nu

Purdue University
Master of Science (MS), Electrical and Computer EngineeringMaster of Science (MS), Electrical and Computer Engineering
2008 - 2011
Activities and societies: Eta Kappa NuActivities and societies: Eta Kappa Nu

Fudan University
Bachelor, EngineeringBachelor, Engineering
2004 - 2008
 

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