Senior Infrastructure Engineer (AI)

Location: Sunnyvale, CA (Hybrid)

Company

hirify.global Systems builds breakthrough AI hardware, including the world's largest AI chip, to deliver industry-leading training and inference speeds for global enterprises and AI-native startups.

What you will do

• Develop declarative, CRD-driven automation for bare-metal networking, OS, and application software across large-scale clusters.
• Build and maintain Kubernetes operators to schedule complex inference workloads with priority queues and health-aware placement.
• Design gRPC control-plane services, including authorization, admission webhooks, and multi-tenant quota policies.
• Implement robust metrics and log pipelines using Prometheus and Grafana for wafer-scale systems and network fabric.
• Ensure system reliability through failure detection, HA control planes, and automated recovery mechanisms.

Requirements

• 5+ years of experience building and operating production distributed systems or infrastructure software.
• Proficiency in Go and Python for production-quality code.
• Deep expertise in Kubernetes, including writing controllers, operators, CRDs, and admission webhooks.
• Strong debugging skills across distributed systems, Linux, and networking.
• Practical experience with Prometheus and Grafana, including PromQL and exporter design.
• Demonstrated adoption of AI tools in engineering workflows with a focus on verification and rigor.

Nice to have

• Experience with bare-metal or HPC fleet operations.
• Knowledge of RDMA/RoCE, eBPF, Ceph, NVMe-oF, or etcd.
• Familiarity with scheduler internals and inference serving stacks.

Culture & Benefits

• Opportunity to work on one of the fastest AI supercomputers in the world.
• Non-corporate work culture that respects individual beliefs.
• Balance of startup vitality with long-term job stability.
• Support for continuous learning, growth, and open-source research contributions.