ML Infra Engineer, Platform

Job description

Job responsibilities

• Own and scale AI-native infrastructure: You will operate and evolve Kubernetes clusters and service deployment patterns, and help build a scalable microservice platform for internal systems such as evaluation services,…
• Drive security, observability and cost-aware infrastructure: You will treat security, logging, metrics, tracing, and alerting as first-class platform primitives, and build systems that surface reliability and…
• Harden platform foundations: You will own core infrastructure with multi-cloud considerations, designing authentication/authorization flows, networking architecture, quota and rate-limiting services, and cloud…
• Improve developer experience: You will build clear, documented interfaces for using platform infrastructure, reducing the gap between “I need infra” and “I can run my workload.” This includes supporting consistent…
• Collaborate and lead through ownership: You will work closely with researchers and other engineers to understand requirements and constraints, translate fast-moving needs into reusable infrastructure, and own systems…

Job requirements

• Experience with large-scale ML training, evaluation, or simulation infrastructure.
• Experience with secrets management systems (e.g., Doppler).
• Background in observability, cost optimization, or internal platform tooling.
• Exposure to robotics, simulation, or real-time systems.