# Zhekai (Zack) Jin > Senior Software Engineer at Nvidia Location: United States, United States Profile: https://flows.cv/zhekai Welcome to my profile! I am currently working at Nvidia as a senior software engineer. I am enthusiastic and dedicated to the software development field as well as robotics. I have multiple experiences in both the robotics field and the general software development field. With strong mathematical and analytical skills, I am eager to solve real-world problems and tackle technological difficulties along the way. I have been actively involved in research about robotics perception, machine learning, motion planning, stochastic probabilistic modeling, data processing, etc. If interested, Please feel free to contact me via zhekai.jin24@gmail.com. ## Work Experience ### Senior Software Engineer, Autonomous Driving @ NVIDIA Jan 2024 – Present ### Senior Software Engineer, Localization & Mapping @ Lucid Motors Jan 2023 – Jan 2024 | Fremont, California, United States ### Software Engineer, Localization & Mapping @ Motional Jan 2021 – Jan 2023 | Pittsburgh, Pennsylvania, United States ### Software Engineer, Localization & Mapping @ Uber Jan 2020 – Jan 2020 | Greater Pittsburgh Area · Worked at the Localization team on evaluating the output of ATG’s offline SLAM system · Introduced objective metrics to evaluate the localized pose estimates in absence of the HD map · Composed a lightweight SLAM verification pipeline which achieved a 98% classifying accuracy on a customized dataset and could easily accommodate other objective metrics for performance feedback ### Research Assistant - Biorobotics Lab @ Carnegie Mellon University School of Computer Science Jan 2019 – Jan 2019 | Greater Pittsburgh Area · Worked on a modular Perception system based on DJI's newly developed Livox Lidar · Established a robust Lidar SLAM framework for Livox with its non-repetitive scanning patterns · Incorporated intensity-based features into scan matching for high resistance to aggressive motion ### Student Researcher - Autonomy Lab @ The Cooper Union for the Advancement of Science and Art Jan 2017 – Jan 2019 | New York · Led a team of five designing IoT network with visualization website for end-users (D3.js, Python) · Designed a human detection algorithm with OpenCV to monitor population density flow · Implemented real-time lighting & heat scheduler and Achieved average 2% energy saving · Realized Telepresence by presenting Mixed Reality and Stereo Rendering: integrating camera feed from robots & peripheral environmental data to head-mounted displays ### Research & Development - Lidar Perception @ Momenta.ai Jan 2018 – Jan 2018 | Beijing City, China · Designed and implemented real-time object tracking pipeline which is robust even with sparse point clouds based on the method of 3D probabilistic interpolation, now deployed on the Level 4 self-driving solution of Momenta.ai. · Devised efficient Ground Detection and Lane Clustering & Segmentation algorithms with 98% precision, added as a feature in HD map module. · Refactored Object Segmentation Modules with 20% memory usage drop by utilizing specialized implementations. ### Research And Development - IoT in Power system @ Totem Power Jan 2017 – Jan 2017 | Bedford Hill New York · Built a complete wireless charging system for vertical take-off and landing civilian drones. · Presented a fully autonomous wireless charging pipeline that could perform charging for multiple drones in a queuing fashion under its coordination. (ARM, C) · Designed precise landing algorithm leveraging pose estimation of April tags to counter charging limitation by range. (OpenCV, C++, Python) · Implemented circuits to incorporate security into wireless charging technologies without firmware breach and agile enough to ensure stable power transmission with minimal weight on the drone. · Implemented charging status monitor algorithm to counter multiple-devices charging situation. (D3.js, Python, C) ### Software Engineer @ DiDi Jan 2017 – Jan 2017 | Hangzhou, Zhejiang, China · Worked on automatic feature extraction on probabilistic time series forecasting model for intelligent dispatching and pricing (PCA, LSTM) · Utilized Twemproxy to turn Redis sentinel mode into proxy + consistent hashing mode and improved Redis latency by 20% · Automated tests with TestNG and Mockito (mocking frameworks) and reached code coverage of 99% ### Systems Development @ Shanghai Integrated Circuit Research & Development Center Co., Ltd. Jan 2016 – Jan 2016 | Shanghai City, China · Designed PCB boards for CCTV cameras with Altium Designer. · Conducted various tests on performances of CCTV cameras PCB boards. · Learned designs of camera circuits with System Verilog and Cadence Virtuoso. ### Student Researcher @ Pioneer Academics Jan 2014 – Jan 2015 · Conducted analytical research on the stagnant magnetic resonance imaging (MRI) technology development in China specifically · Initiated public marketing and Gave public speeches on the significance and benefits of MRI technology in local hospitals and communities ## Education ### Master of Science (M.S.) in Robotic Systems Development in Robotics Carnegie Mellon University School of Computer Science Jan 2019 – Jan 2021 ### Bachelor of Engineering - BE in Electrical & Computer Engineering The Cooper Union for the Advancement of Science and Art Jan 2015 – Jan 2019 ### High School Diploma Hangzhou Foreign Languages School Jan 2012 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/zhekaijin - Website: https://zhekaijin.github.io/ --- Source: https://flows.cv/zhekai JSON Resume: https://flows.cv/zhekai/resume.json Last updated: 2026-03-22