Intelligent Infrastructure Engineer (AI)

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design, build, and operate platform infrastructure for large-scale AI training and inference workloads.
• Operate and optimize GPU clusters, distributed training frameworks, scheduling systems, and high-performance storage.
• Improve infrastructure reliability, efficiency, developer experience, and cost control for ML engineers and researchers.
• Work across hardware, kernels, schedulers, ML frameworks, networking, and cloud infrastructure.
• Apply software engineering practices including testing, CI/CD, and code review.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 6+ years of experience in infrastructure, platform, or HPC engineering.
• Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
• Strong Python skills and proficiency in at least one systems language, such as Go or C++.
• Experience with distributed training, accelerator architectures, collective communication, Kubernetes, Slurm, Ray, or similar ML scheduling systems.
• Strong knowledge of Linux internals, networking, high-performance storage, and at least one major cloud provider’s ML infrastructure offerings.

Nice to have

• Experience operating InfiniBand or RDMA networking at scale.
• Contributions to open-source ML infrastructure projects.
• Familiarity with custom orchestrators, research-grade training stacks, or frontier model training operations.
• Experience with FinOps for AI workloads.

Culture & Benefits

• Full-time direct W2 employment.
• Remote work within the United States.
• Career growth opportunities within an established organization.
• Applicants must be U.S. citizens, Green Card holders, EAD holders, or H-1B transfer candidates; new H-1B visa petitions cannot be sponsored.
• Equal employment opportunity across legally protected statuses.