Software Engineer, Data Systems

The role

You will build storage and a high-throughput data engine over petabytes of video, lidar and high-frequency telemetry data. The role involves working on architecture for real-time indexing, distributed storage/compute, and dataloading to GPUs.

What you will do

• Build multimodal storage against modern columnar data lake formats optimized for video, lidar and sensor logs
• Build powerful querying capabilities using database fundamentals like partitioning, indexing, and query planning
• Implement embeddings/vector search and LLMs/VLMs for perception-based query predicates
• Improve memory stability, throughput, and zero-copy data flow through streaming computation and line-rate CUDA tensor delivery to GPUs

Required qualifications

• Proven track record building resilient, high-throughput distributed systems or database engines using Rust or C++
• 3+ years of experience diving deep into engine internals such as vectorized execution, query planning/optimization, distributed task scheduling, or zero-copy networking
• Practical exposure to scaling cloud infrastructure (AWS S3)
• High agency and adaptability to thrive in an autonomous, fast-paced startup environment

Nice to have

• experience with CUDA, GPU streaming, or video decoding frameworks

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.