--- title: "Software Engineer, Data Systems" company: "Eventual" company_url: "https://www.remjobs.works/companies/eventual" url: "https://www.remjobs.works/job/eventual-software-engineer-data-systems-5e249a15-c205-4a50-b178-78de51614ac3" apply_url: "https://jobs.ashbyhq.com/eventualcomputing/ff541fc0-b72e-40ad-84dc-6baa22570356" workplace: onsite location: "San Francisco" employment_type: full-time seniority: mid role: software-engineering region: united-states skills: ["aws", "cpp", "databricks", "llm", "rust", "snowflake"] date_posted: 2026-09-03T17:39:41.314Z first_seen_by_remjobs: 2026-09-15T18:14:36.315Z --- # Software Engineer, Data Systems **Eventual** · San Francisco Apply: https://jobs.ashbyhq.com/eventualcomputing/ff541fc0-b72e-40ad-84dc-6baa22570356 ## About Eventual Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With backing from Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started. Please note we are looking for someone who is willing and able to come into our San Francisco office in the Mission district 4 days / week. ## About the role ### About Eventual From humanoid robots to autonomous vehicles, every Physical AI model is trained on petabytes of video, lidar, radar, and sensor data. Today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics, not video corpora. And understanding that video still means paying a person to watch it, ten dollars an hour of footage at the low end. So teams check a sample and hope it represents the rest. The footage grows every year; the budget to look at it doesn't. Eventual was founded in 2022 to close that gap. Our open-source engine,[Daft](http://daft), is purpose-built for multimodal AI: 2 PB/day at Amazon, 60-100 PB at another FAANG company, and in production at companies like Mobileye, TogetherAI. On top of it we're building the infrastructure that finds any situation you can describe across a fleet's entire video history, and turns it into a training set or an alert someone can still act on. We fine-tune and run the vision models ourselves, which makes indexing every hour cheaper than annotating a sample. We're building this with the top Physical AI labs and GPU cloud providers. We've raised $30M from investors like Felicis, CRV, Y Combinator, and angels from the co-founders of Databricks and Perplexity. Our team comes from AWS, Lyft, and Tesla. We powered the last generation of Physical AI in self-driving; now we're doing it for the next. Join our small (but powerful!) team, 4 days/week in our SF Mission District office. ### Our Mission: 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. ### Your Role: 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. ### Key Responsibilities: - 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. ### What we look for: - 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 ### Perks & Benefits - In-person tight knit team with 4x a week in office - 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! #### --- Source: Eventual's own career page, read by RemJobs. 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