Software Engineer, Fleet Management (AI)

TL;DR

Software Engineer, Fleet Management (AI): Building systems to manage hardware and configurations for large-scale infrastructure with an accent on optimizing performance and reliability. Focus on automating processes and collaborating with cross-functional teams to enhance operational efficiency.

Location: Hybrid (3 days in the office per week, San Francisco, CA)

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Design and build systems to manage both cloud and bare-metal fleets at scale.
• Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms.
• Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows.
• Automate infrastructure processes, reducing repetitive toil and improving system reliability.
• Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack.
• Continuously improve tools, automation, processes, and documentation to enhance operational efficiency.

Requirements

• Strong software engineering skills with experience in large-scale infrastructure environments.
• Broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers).
• Deep expertise in server-level systems (e.g., systemd, containerization, Chef, Linux kernels, firmware management, host routing).
• Passionate about optimizing the performance and reliability of large compute fleets.
• Thrives in dynamic environments and eager to solve complex infrastructure challenges.
• Values automation, efficiency, and continuous improvement in everything built.