Staff Data Infrastructure Engineer

The role

You will architect, build, and scale high-throughput data infrastructure to process and manage billions of video clips. You will design large-scale storage systems and build indexing and retrieval systems for multimodal datasets.

What you will do

• Architect, build, and scale a high-throughput data infrastructure
• Design and optimize large-scale storage systems for multimodal datasets
• Build efficient indexing and retrieval systems
• Develop observability frameworks for data pipelines
• Implement intelligent workload balancing and throughput optimization
• Manage data artifacts, versioning, and lineage
• Build internal interfaces and lightweight tools for researchers and engineers
• Support integration and scalable deployment of vision-language models within data pipelines

Required qualifications

• 5+ years of experience in data infrastructure, distributed systems, ML infrastructure, or a closely related field
• 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 the ability to own systems end-to-end, from design to production

Nice to have

• Strong experience building and operating large-scale data pipelines (1B+ samples or petabyte-scale systems preferred)
• Experience managing large multimodal datasets
• Familiarity with ML training workflows and data lifecycle management
• Familiarity with vision-language models (VLMs) and experience running ML inference workloads at scale in distributed or cloud environments
• Experience with robotics data formats or real-world sensor data (video, proprioception, teleoperation logs)
• Experience with data warehouse technologies (e.g., Snowflake, BigQuery, or Redshift) for large-scale data storage, querying, and analytics
• Familiarity with data versioning and lineage tooling (e.g., DVC, Delta Lake, or similar)

About the company

Rhoda AI is building the next generation of generalist intelligent robots. They own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models.