Data Infrastructure

Genesis AI; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Genesis AI is seeking a highly skilled Data Engineer to design, build, and operate data pipelines for robotics foundation model training at petabyte scale in the United States. You will own core data infrastructure, including data models, storage, ingestion, transformation, and orchestration layers.

You will standardize data models across real-world teleoperation and synthetic simulation datasets while collaborating with a motivated team to advance general-purpose Physical AI.

Qualifications

• 8+ years of experience building large-scale data pipelines.
• Experience with distributed systems and data storage tech.
• Production-grade infrastructure experience.

Responsibilities

• Design, build, and maintain data pipelines for robotics foundation model training.
• Own data infrastructure including data model, storage, ingestion, transformation, and orchestration.
• Standardize data models and unify processing pipelines across datasets.
• Collaborate with team to advance general-purpose Physical AI.

Skills

Python

Go

Large-scale data pipelines

Distributed systems

Data modeling

Tools

Spark

Kafka

S3

Terraform

Kubernetes

Job description

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