Infrastructure, Large-scale Training (AI)

Location: San Jose, United States

Salary: $180,000–$450,000 annually

Company

hirify.global is an artificial intelligence company developing proactive, multimodal intelligence and next-generation hardware that interact with people and the real world through speech, text, vision, and persistent memory.

What you will do

• Design and maintain Infrastructure as Code practices for repeatable, auditable, and scalable GPU cluster provisioning.
• Improve and harden CI/CD pipelines for secure, reliable, low-latency model delivery in production.
• Own training infrastructure operating at the scale of 10,000+ GPUs, including scheduling, fault tolerance, and network fabric optimization.
• Partner with ML researchers and engineers to identify compute bottlenecks and deliver infrastructure improvements.
• Monitor system health, define SLOs, and lead incident response for critical training and inference workloads.
• Drive capacity planning, cost efficiency, hardware lifecycle management, and internal tooling for compute users.

Requirements

• 5+ years of experience in infrastructure, systems, or platform engineering, including at least 2 years in ML or HPC environments.
• Experience managing GPU clusters or large-scale distributed compute infrastructure.
• Strong proficiency in at least one systems or infrastructure programming language.
• Deep understanding of networking fundamentals relevant to high-throughput training workloads.
• Experience with container orchestration, job scheduling, and multi-tenant resource management.
• Production systems ownership, high-reliability operations, debugging, and observability across the infrastructure stack.

Nice to have

• Experience operating large, GPU-aware Kubernetes clusters.
• Pulumi or similar Infrastructure as Code tooling.
• Rust or Go for systems-level tooling and performance-critical services.
• Familiarity with PyTorch and Ray.
• RDMA, InfiniBand, or RoCE experience.

Culture & Benefits

• Full-time position with a US annual base salary range of $180,000–$450,000.
• Total compensation may include additional components and benefits depending on the role.
• Work centers on highly technical infrastructure-as-a-product engineering for AI research and production workloads.