Software Engineering Manager II at Latitude AI
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I am a Software Engineering Manager II at Latitude AI, leading the Perception Applications team. My team works on the perception capabilities for Ford's Universal Electric Vehicles (UEVs). Prior to Latitude AI, I was a Senior Manager leading the Prediction team at Motional.
Carnegie Mellon University
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering
January 1, 2012 – January 1, 2017
Tsinghua University
Bachelor of Engineering (BE), Electronic Engineering
January 1, 2008 – January 1, 2012
Latitude AI
Software Engineering Manager II
April 1, 2024 – Present
Pittsburgh, Pennsylvania, United States
Motional
Principal Engineer Team Lead, Senior Manager
January 1, 2021 – April 1, 2024
Pittsburgh, Pennsylvania, United States
Uber Advanced Technologies Group
Senior Software Engineer
September 1, 2018 – January 1, 2021
Pittsburgh, Pennsylvania, United States
Uber Advanced Technologies Group
Software Engineer II
June 1, 2017 – August 1, 2018
Pittsburgh, Pennsylvania, United States
HP Labs
Research Intern
May 1, 2014 – August 1, 2014
Palo Alto, CA
Carnegie Mellon University
Graduate Research Assistant
August 1, 2012 – May 1, 2017
Pittsburgh, Pennsylvania, United States
Cultural Fit Analysis
The candidate has worked in prominent, fast-paced technology companies (Uber ATG, Motional, Latitude AI) focused on cutting-edge ML and autonomous systems. This suggests a fit for innovative, research-driven, and results-oriented cultures. The transition from individual contributor to senior management roles indicates adaptability and growth potential. The specific focus on autonomous driving, while deep, might limit breadth in other ML domains, potentially impacting cultural fit for roles requiring broader ML application experience.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles and team management, indicating strong soft skills in guiding technical teams. The extensive publication record also suggests strong communication of complex technical ideas. The focus on autonomous driving and ML systems aligns well with roles requiring operational rigor and high-impact decision-making.