ML Infra Engineer, Platform

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ML Infra Engineer, Platform in USA

Physical Intelligence
Full time
Email

USA
10/10/2026
Report

San Francisco, CA

Responsibilities

Operate and evolve Kubernetes clusters and scalable service deployment patterns.
Build internal platform systems such as evaluation services, operational tooling, and APIs with safe rollout, upgrade, and rollback strategies.
Develop security, logging, metrics, tracing, alerting, reliability, and cost-visibility infrastructure.
Design authentication and authorization flows, networking architecture, quota and rate-limiting services, and multi-cloud infrastructure primitives.
Standardize infrastructure patterns, abstractions, and interfaces to reduce operational churn.
Improve local and remote development workflows and self-service infrastructure usage.
Own infrastructure systems end-to-end from design through operation and collaborate with researchers and engineers on ambiguous requirements.

Requirements

4-6 years of experience working in fast-moving or early-stage environments with demonstrated growth.
Deep experience with GCP, AWS, distributed systems, compute orchestration, networking, autoscaling, service meshes, and load balancing.
Comfort with Kubernetes, cluster-level reliability, and service-oriented architectures.
Experience with infrastructure-as-code such as Terraform, containerization, and modern platform engineering practices.
Familiarity with agent infrastructure, observability, security, sandboxing, logging, metrics, tracing, incident response, SLOs, and distributed-systems debugging.
Ability to reason about scalability, bottlenecks, performance tuning, failure modes, and cost optimization across compute, networking, and storage.
Strong first-principles thinking, cross-functional communication, and end-to-end ownership.
Bonus experience with large-scale ML training, evaluation or simulation infrastructure; secrets management such as Doppler; observability; cost optimization; internal platform tooling; robotics; simulation; or real-time systems.

Physical Intelligence

Physical Intelligence builds general-purpose AI for the physical world, developing foundation models and full-stack robotic systems for robots and other actuated devices. The privately held company was founded in 2024 and focuses on taking designs from prototype to high-volume production, includi...

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