Software Engineer, Multimodal Backend Systems

The role

You will build core products and architecture for multimodal backend systems. This involves working on real-time video infrastructure, robotics telemetry, and data-dense user interfaces.

What you will do

• Design, build, and optimize real-time WebRTC media pipelines and custom signaling mechanisms
• Integrate and tune video codecs leveraging GPU acceleration
• Engineer high-throughput video ingestion and distributed transcoding services
• Construct specialized storage formats, spatial indexes, and processing workflows for 3D LiDAR and depth maps
• Develop high throughput ingestion pipelines for real-time sensor streams and robot state telemetry
• Coordinate time-sync protocols across sensor feeds
• Architect high-performance web applications using React and TypeScript
• Build custom frontends to render 3D LiDAR point clouds and multi-camera video feeds
• Create agentic data-exploration, curation and search tools

Required qualifications

• Excellent coding and architectural fundamentals in Rust, C++, Python, or Go

Nice to have

• Deep expertise in Real-Time Video Infrastructure
• Deep expertise in Robotics & Physical AI Telemetry
• Deep expertise in Product & Multimedia Frontend

Benefits

• Competitive comp and startup equity
• Catered lunches and dinners for SF employees
• Commuter benefit
• Team building events & poker nights
• Health, vision, and dental coverage
• Flexible PTO
• Latest Apple equipment
• 401k plan with match!

About the company

Eventual is building data curation for Physical AI by processing video and sensor data at petabyte scale. The small team is from AWS, Lyft and Tesla and is backed by Felicis, CRV, Y Combinator and the co-founders of Databricks and Perplexity.