Senior/Staff Cloud Infrastructure Engineer

Highlights

• Own the infrastructure backbone for training data, field robots, and models.
• Build reliable, low-latency systems that keep humanoid robots running in the world.
• Shape the platform scaling from frontier model research to real-world deployment.

What they offer

• equity

Ideal candidate

A pragmatic systems owner who cares about reliability and low latency and thrives at the intersection of physical AI and large-scale infrastructure, partnering closely with research and field teams.

Requirements

• 4+ years of experience in cloud infrastructure, platform engineering, or a related role
• Strong proficiency with at least one major cloud provider (AWS, GCP, or Azure), including compute, networking, storage, and managed database services
• Hands-on experience managing relational and NoSQL databases in production, including performance tuning, replication, and failover
• Experience operating data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) and large-scale object storage (e.g., S3, GCS)
• Solid backend development skills — comfortable writing and maintaining services in Python, Go, or a similar language
• Strong understanding of distributed systems concepts: consistency, availability, fault tolerance, and latency trade-offs
• Familiarity with container orchestration using Kubernetes or equivalent platforms
• Proven ability to debug and resolve complex production incidents under pressure