Job Description
We build the infrastructure that processes, validates, and delivers large-scale multimodal data for frontier AI systems. You’ll own the core data platform end to end and work closely with customers to ensure reliable, high-quality data delivery.
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Responsibilities
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- Own the end-to-end data pipeline from ingestion to customer delivery
- Build automated validation and quality control systems
- Design scalable data schemas and maintain compatibility as requirements evolve
- Optimize storage architecture, performance, and infrastructure cost
- Build observability and traceability across the data lifecycle
- Work directly with customer engineering teams to resolve technical issues
- Scale the platform to support rapid business growth
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Requirements
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- 5+ years building production data infrastructure
- Strong experience designing scalable backend or data processing systems
- Experience working with large multimedia datasets
- Familiarity with distributed data processing and cloud infrastructure
- Hands-on experience building automated validation or data quality systems
- Strong software engineering skills (Python and/or Go preferred)
- Excellent communication skills and ability to work with external partners
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Nice to Have
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- Experience with robotics, computer vision, or sensor data
- Background in video processing or computer graphics
- Experience building internal data platforms or developer tooling
- Experience working with imperfect real-world datasets
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Not a Fit If
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- Your experience is primarily analytics or business intelligence
- You prefer narrowly defined implementation tasks
- You are uncomfortable interacting with customers
- You have limited interest in infrastructure performance or cost optimization
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Why Join
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- Work with world-leading AI labs on cutting-edge infrastructure
- Own critical systems with significant technical autonomy
- Shape architecture from the ground up
- Small team, fast execution, high impact
- Help define infrastructure for the next generation of Physical AI
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