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Software Engineer, Multimodal Backend Systems

Eventual ·San Francisco ·Onsite 57d ago
WebRTCReactTypeScriptRustC++PythonGo

About the role

Eventual is building data curation for Physical AI. As a Software Engineer on Multimodal Backend Systems, you will build core products and architecture, shipping features used by customers. Work spans large-scale data systems, computer vision, and ML research. You will work on real-time video infrastructure, robotics telemetry, or product frontend. The team is small, in SF, 4 days/week in office.

Requirements

Deep expertise in at least one of: Real-Time Video Infrastructure (WebRTC, H.264/HEVC/AV1, GPU acceleration), Robotics & Physical AI Telemetry (LiDAR, sensor streams, time-sync), or Product & Multimedia Frontend (React, TypeScript, 3D visualization). Strong coding in Rust, C++, Python, or Go. Problem-solver, autonomous, able to scope and solve difficult technical challenges.

About the company

Eventual

Eventual builds data infrastructure for AI and Physical AI, addressing the bottleneck of data management critical for model training. Their open-source engine, Daft, enables exabyte-scale processing of unstructured sensor data, while MultiBase specifically empowers teams to query and utilize petabytes of video and sensor data for advanced AI applications with ease. Eventual's value proposition lies in eliminating data complexity, allowing AI development teams to focus on innovation rather than data engineering.

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$150k–200k
Onsite San FranciscoSan Francisco, United States
Posted 57d ago
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About the company
Eventual
https://www.eventual.ai

Eventual builds data infrastructure for AI and Physical AI, addressing the bottleneck of data management critical for model training. Their open-source engine, Daft, enables exabyte-scale processing of unstructured sensor data, while MultiBase specifically empowers teams to query and utilize petabytes of video and sensor data for advanced AI applications with ease. Eventual's value proposition lies in eliminating data complexity, allowing AI development teams to focus on innovation rather than data engineering.

View company page →