Builds backend infrastructure and core platform for AI agent cloud, including VM hypervisors, LLM sandboxes, networking, and orchestration. Requires 5+ years in distributed systems and Linux administration for onsite role in San Francisco.
Design end-to-end datacenter network architectures for AI training and inference workloads. Own topology selection, fabric design, physical infrastructure integration, and produce deployable HLDs/LLDs across multiple GPU platforms and customer requirements.
As a Senior Developer Productivity Engineer, you will own the build, test, and deployment processes for a 50+ person engineering team. You will improve monorepo productivity, drive excellence in testing, and support multi-cloud/multi-region infrastructure to enable fast and safe shipping.
Design and own high-performance data center network infrastructure for GPU clusters, including fabric architecture, cabling, and performance validation. Requires deep experience with InfiniBand, RDMA, or high-performance Ethernet at a senior level.
Builds and operates scalable observability platforms for metrics, logs, traces across GPU, HPC infrastructure. Designs telemetry pipelines, alerting, and multi-tenant systems using Prometheus, Grafana, Kafka; requires 5+ years SRE/infra experience.