Research Member of Technical Staff- Data Infrastructure

Highlights

• Build data foundation powering generalist robots in real-world environments.
• Scale high-throughput pipeline managing billions of video clips reliably.
• Own architecture decisions with direct impact on training velocity.

Ideal candidate

Seasoned infrastructure builder who thrives owning large-scale systems end-to-end and wants their work to directly accelerate robotics research. You care about reliability, efficiency, and enabling researchers to iterate fast.

Requirements

• 5+ years of experience in data infrastructure, distributed systems, ML infrastructure, or a closely related field
• Strong experience building and operating large-scale data pipelines (1B+ samples or petabyte-scale systems preferred)
• Deep understanding of distributed systems, databases, indexing strategies, and cloud storage architectures
• Experience optimizing data throughput, workload balancing, and cost-performance tradeoffs in cloud environments
• Experience with distributed compute frameworks such as Ray or Spark for large-scale data processing and transformation
• Strong skills in observability, monitoring, and production reliability for high-scale systems
• Strong software engineering fundamentals with ability to own systems end-to-end, from design to production