Xiufeng Song

Staff Software Engineer, Technical Lead Manager - Perception @Argo Ai

San Jose, CA, US
MOBILE NUMBERS
+14•••••••83

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WORK HISTORY

Jul 2020 — Present

Staff Software Engineer, Technical Lead Manager - Perception @Argo Ai

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San Francisco, CA, US

Led three perception teams spanning sensing, infrastructure, and evaluation- Radar Perception: Owned all radar-based perception across primary and backup autonomy systems, including detection, tracking, and sensor fusion- Offboard Perception: Built systems to generate high-precision object representations, enabling scalable auto-labeling pipelines- Perception Metrics: Designed and deployed a metrics framework to quantify, monitor, and improve perception performance

EDUCATION

N/A

Xidian University

B.S., Electrical Engineering

N/A

Chinese Academy of Sciences

M.S, Electrical Engineering

2008 — 2012

University of Connecticut

Ph.D., Electrical and Electronics Engineering

SKILLS

SonarAutonomous DrivingAdaptive FilteringAutonomous Driving MapCompressive SensingRadarSystem ArchitectureLocalizationMachine LearningStatistical InferenceParticle FiltersOptimizationsModelingTrackingMimoNavigationMulti-Sensor FusionCommunicationSignal ProcessingKalman Filtering

ABOUT XIUFENG SONG

My Passion: • Autonomous driving, autonomous driving, and autonomous driving!Technical Background:• Radar, perception, tracking, sensor fusion, & localization since 2005.Achievements:• Architected and implemented a number of systems that have been delivered on products. • 30 technical publications. Received 5 best paper nominations, and won 1 best paper award.• 35 US patents and patent applications.Work Experience Highlights:• From 2005 to 2008, I worked on signal and data processing for the space-borne remote sensing radar at Chinese Academy of Sciences, where I successfully developed methods to generate high-resolution radar image with multiple low resolution subsystems. • Supported by Office of Navy Research (ONR), I worked on various advanced projects from 2008 to 2012. E.g, I have developed methods to remove electronic interference from distributed radar system and significantly improves its information retrieval performance; I have invented a method to calibrate sonar tracking system, and such method can reduce tracking errors by 2-5 meters; I have explored various methods to fuse different sensors in maneuver target tracking. • From 2014 to 2016, I worked at Samsung R&D, where I designed algorithms on mobile platforms localization & tracking facing unfriendly environments such as tunnel passing through, urban canyon, electronic interference. My works have been commercialized in Samsung’s products.

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