AI Systems Engineer

Location: 100% remote within the United States

Salary: $90,000–$100,000 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 the platform layer for large-scale AI training and inference workloads.
• Operate and optimize GPU clusters, distributed training frameworks, scheduling systems, and high-performance storage.
• Improve reliability, infrastructure efficiency, and cost control for AI workloads.
• Build developer experience capabilities for ML engineers and researchers.
• Apply software engineering practices including testing, CI/CD, and code review.
• Collaborate with ML engineers, researchers, and cross-functional stakeholders.

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 proficiency in Python and at least one systems language such as Go or C++.
• Deep understanding of distributed training, accelerator architectures, collective communication, Linux internals, networking, and high-performance storage.
• Experience with Kubernetes, Slurm, Ray, or similar ML workload scheduling systems, plus a 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 or research-grade training stacks.
• Exposure to frontier model training operations.
• Experience with FinOps for AI workloads.

Culture & Benefits

• Full-time direct W-2 employment.
• Career growth opportunities within an established organization.
• Equal employment opportunity for employees and applicants.

Hiring process

• Submit a resume by email for consideration.