Eventualcomputing
Software Engineer, Systems
San Francisco
Sponsorship not specified$20k-$40kDetected 7 days ago
RustC++Data StructuresPostgreSQLBigQuerySnowflakeDatabricksAWSLinuxSparkData EngineeringRoboticsSensorsMentoringHadoop
About the role
- While we are an experienced team that can provide constant guidance and mentorship, we value engineers who can autonomously scope and solve difficult technical challenges.
Responsibilities
- Planning/Query Optimizer: intelligently optimize users' workloads with modern database techniques
- Our goal is to build the world's best open-source distributed query engine, becoming the leading framework for data engineering and analytics.
- Team building events & poker nights
Nice to have
- 3+ years of experience working with distributed data systems (query planning, optimizations, workload pipelining, scheduling, networking, fault tolerance etc)
- Strong fundamentals in systems programming (e.g. C++, Rust, C) and Linux
- Familiarity and experience with cloud technologies (e.g. AWS S3 etc)
Skills
- intelligently optimize users' workloads with modern database techniques
Compensation
- $20k-$40k
Benefits
- Competitive comp and startup equity
- Commuter benefit
- Health, vision, and dental coverage
Company info
- Every breakthrough Physical AI system - humanoid robots, autonomous vehicles, video generation models - is trained on petabytes of video, lidar, radar, and sensor data.
- But today's data platforms (Databricks, Snowflake) were built for spreadsheet-like analytics, not the multimodal corpora that power AI.
- Robotics and video-AI teams now lose 20-40% of their training time to dataloading alone.
- GPU bandwidth has grown 2-3× per generation.
- Storage and pipelines haven't.
- The gap widens every year.
- Eventual was founded in 2022 to close it.
- Our open-source engine, Daft https://daft.ai/, is the distributed data engine purpose-built for multimodal AI - already running 2 PB/day at Amazon, 60-100 PB at another FAANG company, and in production at Mobileye, TogetherAI, and CloudKitchens.
- We are building a video-native index on top of our engine for Physical AI that streams curated datasets to GPUs at line rate.
- Saturates B200s today.
- Aimed at NVL72 and Vera Rubin tomorrow.
- We're building this in partnership with the top PhysicalAI labs and public AI infrastructure companies today.
- We have raised $30M from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc http://Array.vc, and angels from the co-founders of Databricks and Perplexity.
- We've assembled a world-class team from AWS, Render, Pinecone and Tesla.
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