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AI Infrastructure Engineer, pAGI

San Francisco💼 Full-time🗓 2026-09-14 → 2026-09-25

Core

Build and operate distributed systems infrastructure for large-scale model training, evaluation, and inference to improve reliability, throughput, and resource efficiency.

Role type

Senior IC AI Systems Engineer (Infrastructure)

Builds

Shared grading services, inference platforms, compute schedulers, and self-service research tooling

Domain

AI Infrastructure / Distributed Systems / GPU Compute

Deliverable

production ML models | infrastructure

Required skills

distributed systems engineering, performance optimization, ML infrastructure, GPU performance tuning, system debugging, observability design

Preferred skills

experience with training stacks, automated validation pipelines, cross-team collaboration

Technologies

Kubernetes, Ray, custom distributed training frameworks, GPU clusters

Responsibilities

Design and deploy infrastructure solutions for training bottlenecks, develop automated capacity management and health monitoring, optimize compute scheduling to reduce idle time, diagnose end-to-end performance issues, build self-service tools for experiment launch and validation

Seniority

Senior, hands-on IC

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