Principal Software Engineer - Autonomous Vehicles at NVIDIA
Bellevue, Washington, United States
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Summary
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Rockstar
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Top School
Vadim Cugunovs is a Principal Software Engineer with 13 years of experience building perception and systems software for autonomous vehicles and prior expertise in computer vision, tracking, and large-scale image search from roles at NVIDIA, Google, and Microsoft. He combines deep research-driven problem solving—shipping features like image stabilization and face tracking on Google Clips—with production-grade engineering of distributed services and tooling. At NVIDIA he drives architecture and delivery for autonomy stacks, while his long Microsoft tenure spans projects from Photosynth and Bing image search to HoloLens-based monocular position tracking prototypes. An active open-source contributor, he maintains a native LLDB-based VSCode debugger extension, showing a practical affinity for low-level systems and developer tooling. Based in Bellevue, WA, he blends academic rigor from an MS with hands-on experience turning vision research into resilient, deployable systems.
A native debugger extension for VSCode based on LLDB
Role in this project:
Back-end Developer
Contributions:109 releases, 12 reviews, 1043 commits in 6 years 10 months
Contributions summary:Vadim appears to be developing and maintaining a native debugger extension for VSCode, based on LLDB. The commits demonstrate the implementation of core debugger functionality and the integration of the extension with the VSCode debug API. The user has made changes to the core logic of the debugging process and added various commands.
Contributions:13 commits, 1 push, 10 branches in 1 year 9 months
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Vadim Cugunovs - Principal Software Engineer - Autonomous Vehicles at NVIDIA