Software Engineer, Data Systems

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.