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# Software Engineer, Data Systems

- **Company:** SF MISSION, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon S3, Apache HTTP Server, C++ (Programming Language), Cloud Computing, Nvidia CUDA, Databases, Information Engineering, Data Systems, Distributed Data Store, Distributed Systems, Search Technologies, Database Engines, Data Streaming, Parquet, Graphics Processing Unit (GPU), Data Storage Technologies, Large Language Models, Indexer, Data Lakes, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/software-engineer-data-systems-eventual-9901122

## About the Role

* 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) and managing heavy-compute data pipelines (bonus points for experience with CUDA, GPU streaming, or video decoding frameworks).
 * High agency and adaptability to thrive in an autonomous, fast-paced startup environment building cutting-edge infrastructure for frontier robotics

## Description

Our goal is to build Scenario Mining and Data Curation for robot fleet data. We empower Physical AI and robotics teams to instantly find, curate, and stream the data they need to train frontier models.

Eventual is an agile team where every engineer has high ownership across the stack from our compute infrastructure, to our data storage/querying layers and model training/deployment., As a Software Engineer on the Data Systems team, you will build key capabilities for Eventual. We build storage and a high-throughput data engine over petabytes of video, lidar and high-frequency telemetry data to power frontier robotics and Physical AI labs. You will work directly on the architecture powering real-time indexing of perception/robotics data, distributed storage/compute, and dataloading at line-rate to GPUs for model training and inference. We operate as a tight-knit, experienced engineering team that values technical autonomy, deep execution, and a passion for solving hard distributed systems problems., * Multimodal Storage (Data Lake): built against modern columnar data lake formats (Apache Parquet, Apache Iceberg etc) optimized for high-dimensional video, lidar and sensor logs.

 * Query Engine: build powerful querying capabilities. Our multi-stage query systems are built on database fundamentals such as partitioning, indexing, query planning, embeddings/vector search for search and retrieval as well as LLMs/VLMs for perception-based query predicates.
 * Dataloading: Improve memory stability, throughput, and zero-copy data flow through streaming computation and line-rate CUDA tensor delivery to GPUs.


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