Redefining Robotic Intelligence. Backed by Khosla.
About the role
Architect, build, and scale a high-throughput data infrastructure that processes and manages billions of video clips with strong guarantees around reliability, latency, and cost efficiency Design and optimize large-scale storage systems (cloud object storage, databases, metadata stores) for multimodal datasets
What they're looking 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 (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
More about this role
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
We're looking for Data Infrastructure MLEs to scale the systems that power our model training data pipeline, from raw ingestion and storage to indexing, retrieval, and throughput optimization at massive scale. We hire across levels — from senior to staff.
Architect, build, and scale a high-throughput data infrastructure that processes and manages billions of video clips with strong guarantees around reliability, latency, and cost efficiency
Design and optimize large-scale storage systems (cloud object storage, databases, metadata stores) for multimodal...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area