Rhoda AI
Staff Data Infrastructure Engineer
Mountain View · Staff · Full-time · Posted May 17, 2026
- Experience
- 5+ years; 1B+ samples or petabyte-scale systems preferred.
About the job
Build and scale the data infrastructure and pipelines that ingest, store, index, retrieve, and prepare large datasets for robotics model training.
What you'll do
- Architect reliable, high-throughput storage, indexing, retrieval, and data processing systems for large multimodal datasets.
- Improve pipeline observability, recovery, workload balancing, throughput, and cost efficiency; manage artifact versioning and lineage.
- Build tools for dataset exploration and support vision-language model integration in data pipelines.
What they ask for
- 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.
- Deep understanding of distributed systems, databases, indexing strategies, and cloud storage architectures.
- Experience with distributed compute frameworks such as Ray or Spark, plus observability and production reliability.
Nice to have
- Experience managing large multimodal datasets or robotics and real-world sensor data.
- Familiarity with ML training workflows, VLM inference, data warehouses, or data versioning and lineage tools.
Tools
Ray, Spark, Snowflake, BigQuery, Redshift, DVC, Delta Lake
AI focus
Support integration and scalable deployment of vision-language models (VLMs) in data pipelines for screening, enrichment, or metadata generation.
Model-written summary · the original posting is authoritative