What You’ll Do
- Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale
- Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers
- Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets
- Collaborate with a team of driven individuals committed to building general-purpose Physical AI
What You’ll Bring
- Excellent software engineering skills (Python, Go, or similar)
- Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years)
- Deep understanding of distributed systems (Spark, Kafka, or similar)
- Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3)
- Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform)
- Bonus: Experience supporting AI systems, in particular embodied AI like self-driving
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Data Infrastructure employer: Genesis AI
Genesis is an exceptional employer for those looking to make a significant impact in the AI and robotics field. With a competitive salary, meaningful equity, and a hybrid work model, employees enjoy a dynamic work culture that fosters innovation and collaboration. The opportunity to shape the recruiting function from the ground up, alongside industry leaders, ensures that team members can grow professionally while tackling some of the most challenging problems in technology today.
