Rerun is an innovative company that provides an open-source data stack specifically designed for Physical AI. It focuses on log handling and visualization for spatial and embodied AI, offering managed infrastructure to ingest, store, analyze, and stream data efficiently. With an easy-to-use SDK, Rerun simplifies data modeling and allows users to gain insights through powerful visualizations and debugging tools, making it an essential platform for developers working in AI and robotics.
computer vision • tooling • open source • deep learning • AI
March 28
Rerun is an innovative company that provides an open-source data stack specifically designed for Physical AI. It focuses on log handling and visualization for spatial and embodied AI, offering managed infrastructure to ingest, store, analyze, and stream data efficiently. With an easy-to-use SDK, Rerun simplifies data modeling and allows users to gain insights through powerful visualizations and debugging tools, making it an essential platform for developers working in AI and robotics.
computer vision • tooling • open source • deep learning • AI
• Build and explain AI-first robotics projects and data pipelines • We’re looking for a curious and passionate Robotics ML Engineer • Your mission will be to make Rerun better for teams building AI-first robotics products. • Building examples and reference projects that use both Rerun's open source and commercial data infrastructure for embodied AI use cases. • Using those projects as a basis for creating blogs, tutorials, videos, and other educational materials. • Interacting with customers and the community to learn how to best improve projects and educational materials. • Use all the above to feed back learnings into the core Rerun product
• An ownership mindset - we're all doing this together! • A helpful attitude and a curious mind • A track record of cool projects and public communication (blog, youtube, great READMEs) • Broad enough knowledge of ML, 3D geometry, robotics and related fields to build useful projects and communicate effectively with customers and the community • Experience with MLOps and the surrounding systems needed to get data from a robot to GPUs (e.g. Linux, Ray, file formats, Pytorch dataloaders, NVIDIA DALI) • Strong Python skills and basic skills in C++ or Rust.
• Competitive cash and equity compensation • Six weeks paid vacation • Whatever hardware and software you need to do your job
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