Shane Grant is a senior software engineer and systems architect with 14+ years building autonomous systems, neural-network-driven features, and high-fidelity simulation from research prototypes to production. Currently leading motion planning at Zoox after architecting multi-agent path planning, cloud/edge microservices, and a customer-facing digital twin platform at inVia Robotics that doubled fleet performance and shortened design cycles from weeks to days. He combines hands-on C++ systems work (including performance-focused contributions to the popular cereal serialization library) with leadership of multidisciplinary teams, hiring frameworks, and data-driven operational dashboards. His PhD work on modulatory feedback and conflict learning informs practical SLAM and learning systems, giving him a rare blend of theoretical depth and production engineering. Known for reducing operational friction through continuous improvement and tightly integrated simulation, he excels at turning complex robotics research into reliable, scalable deployments.
14 years of coding experience
8 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of Southern California
Contributions:10 releases, 2 reviews, 513 commits in 8 years 9 months
Contributions summary:Shane's commits primarily focus on refactoring and improving the serialization functionality of the cereal library, a C++11 library for serialization. They've made changes to the internal traits, including the addition of macros for minimal serialization functions. Additionally, the user implemented modifications to the XML archive to improve performance. The user's commits demonstrate a focus on enhancing the library's features and capabilities.
Contributions:107 pushes, 24 branches in 2 years 10 months
polymorphismcppserializationheader-onlyserializer
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