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Software Engineer, Data Systems

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Software Engineer, Data Systems in USA

  • Eventual
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Build multimodal storage systems using modern columnar data lake formats for video, lidar, and sensor logs.
  • Develop query engine capabilities including partitioning, indexing, query planning, embeddings/vector search, and perception-based query predicates.
  • Improve dataloading memory stability, throughput, and zero-copy streaming to deliver CUDA tensors to GPUs at line rate.
  • Work across compute infrastructure, data storage and querying layers, and model training and deployment systems.

Requirements

  • Proven experience building resilient, high-throughput distributed systems or database engines using Rust or C++.
  • At least 3 years of experience working deeply on engine internals such as vectorized execution, query planning and optimization, distributed task scheduling, or zero-copy networking.
  • Practical experience scaling cloud infrastructure, particularly AWS S3.
  • Experience with CUDA, GPU streaming, or video decoding frameworks is preferred.
  • Ability to work autonomously and adapt in a fast-paced startup environment.

Benefits

  • In-person role with four days per week in the San Francisco office.
  • Competitive compensation and startup equity.
  • Catered lunches and dinners for San Francisco employees.
  • Commuter benefit.
  • Team-building events and poker nights.
  • Health, vision, and dental coverage.
  • Flexible paid time off.
  • Latest Apple equipment.
  • 401(k) plan with employer match.

Salary: Competitive

Eventual

Eventual is building a multimodal data platform for AI systems from the ground up, designed to tackle the challenges of working with traditional data engineering and analytics alongside modern ML/AI workloads. Eventual has raised $30M from investors including Felicis, CRV, M12, Citi, YCombinator,...

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