About the Role
What You’ll Do
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Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale
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Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers
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Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets
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Collaborate with a team of driven individuals committed to building general-purpose Physical AI
What You’ll Bring
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Excellent software engineering skills (Python, Go, or similar)
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Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years)
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Deep understanding of distributed systems (Spark, Kafka, or similar)
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Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3)
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Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform)
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Bonus: Experience supporting AI systems, in particular embodied AI like self-driving
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Requirements
Qualifications
- Experience: Fresher
Skills & Languages
analytics Market & Role Insights
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payments Estimated Market Compensation
100 comparable listingsMarket Median: ₹34,500. Range reflects the 25th to 75th percentile of similar active roles on Jobsfiy.
speed Category Snapshot: Engineering & Research
Active Category Roles
19+
Remote Flexibility
0% Remote
Target Experience
Lead
How to Stand Out When Applying for Data Infrastructure
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