ML Infra Engineer — Scale AI Platform with Kubernetes

Physical Intelligence; San Francisco (CA); On-site; USD 180,000 - 210,000; Full time

Job summary

Physical Intelligence in San Francisco is seeking a seasoned Platform Infrastructure Engineer to own and scale AI-native infrastructure. You will operate Kubernetes clusters, build a scalable microservice platform, and drive security, observability, and cost-aware design across multi-cloud environments.

You will collaborate with researchers and engineers to translate fast-moving needs into reusable infrastructure, owning systems end-to-end from design to operation.

Qualifications

• Strong first-principles thinking and ownership.
• Experience with cloud platforms (GCP, AWS) and distributed systems.
• In-depth experience with infrastructure-as-code and containerization.

Responsibilities

• Own and scale AI-native infrastructure: operate and evolve Kubernetes clusters and service deployment patterns, support safe rollouts, upgrades, and rollback strategies.
• Drive security, observability and cost-aware infrastructure, surface reliability and performance issues early, improve cost visibility.
• Harden platform foundations across multi-cloud, design authentication/authorization flows, networking, quota and rate-limiting services.
• Improve developer experience with clear interfaces and self-serve infrastructure usage.
• Collaborate with researchers and engineers to own systems end-to-end from design to operation.

Skills

First-principles thinking

Agent infrastructure

Cloud platforms (GCP, AWS)

Distributed systems

Kubernetes

Observability

Security

Sandboxing

Cost optimization

Cross-functional communication

Tools

Kubernetes

Terraform

Docker

GCP

AWS

CI/CD

Job description

Physical Intelligence in San Francisco is seeking a seasoned Platform Infrastructure Engineer to own and scale AI-native infrastructure. You will operate Kubernetes clusters, build a scalable microservice platform, and drive security, observability, and cost-aware design across multi-cloud environments.

You will collaborate with researchers and engineers to translate fast-moving needs into reusable infrastructure, owning systems end-to-end from design to operation.