Machine Learning Infrastructure (AI)

Location: San Francisco, California; London Area/London (on-site); Houston, Texas; Mountain View, California; Santa Clara, California; remote work available in the United States.

Salary: $150,000–$350,000 annually.

Company

hirify.global represents a well-funded Series A AI infrastructure company building systems for the next generation of AI compute.

What you will do

• Design and operate the orchestration layer for production AI compute.
• Build systems that schedule, route, and coordinate AI workloads across thousands of nodes and heterogeneous hardware.
• Develop production schedulers, orchestration platforms, distributed control planes, and resource-management or queueing systems.
• Build Kubernetes-adjacent infrastructure rather than only operating Kubernetes clusters.
• Develop large-scale ML serving and distributed-compute infrastructure.
• Shape foundational infrastructure and contribute to engineering culture.

Requirements

• Hands-on experience building and owning production schedulers or orchestration platforms.
• Experience with distributed control planes, resource management, queueing systems, or large-scale ML infrastructure.
• Ability to reason about concurrency, coordination, fault tolerance, failure recovery, and production reliability.
• Experience with Go, C++, Python, RPC, or asynchronous systems.
• Ability to clearly explain systems personally designed, shipped, scaled, and operated.

Culture & Benefits

• Opportunity to influence foundational infrastructure for next-generation AI compute.
• Opportunity to help shape the engineering culture of a Series A company.