Senior Data Infrastructure Engineer — Petabyte-Scale Pipelines

Genesis; San Carlos (AZ); On-site; USD 180,000 - 240,000; Full time

Job summary

You’ll own data models, ingestion, transformation, and orchestration layers, collaborate with a driven team, and help advance general-purpose Physical AI. This role requires deep experience with Python or Go, distributed systems, and production-grade infrastructure.

Qualifications

• 8+ years of experience designing, building, and maintaining large-scale data pipelines.
• Hands-on experience with distributed systems like Spark or Kafka.
• Familiarity with data lakes, warehouses, and object stores (e.g., S3).
• Experience running production-grade infrastructure (Kubernetes, Terraform).

Responsibilities

• Design, build, and maintain large-scale data pipelines for robotics foundation model training.
• Own core data infrastructure including data model, storage, ingestion, and orchestration.
• Unify processing pipelines across real-world teleoperation and synthetic datasets.
• Collaborate with a team to advance general-purpose Physical AI.

Skills

Python

Go

Data pipelines

Distributed systems

Data storage

Kubernetes

Terraform

Embodied AI

Job description

You’ll own data models, ingestion, transformation, and orchestration layers, collaborate with a driven team, and help advance general-purpose Physical AI. This role requires deep experience with Python or Go, distributed systems, and production-grade infrastructure.