Senior Compute Platform Engineer (AI)

TL;DR

Senior Compute Platform Engineer (Golang/Kubernetes): Designing and operating high-scale batch compute and workflow orchestration systems for autonomous trucking with an accent on Kubernetes clusters, resource optimization, and multi-tenant scheduling. Focus on improving reliability and fault tolerance of large-scale distributed jobs and platform abstractions.

Location: Pittsburgh, PA or Remote (Must be a U.S. person/citizen due to national security laws)

Company

hirify.global develops autonomous technology and AI systems for the trucking transportation industry to enhance safety and efficiency.

What you will do

• Design and operate distributed systems for scheduling large-scale batch workloads across Kubernetes clusters.
• Build and maintain compute platform abstractions and optimize resource utilization.
• Develop multi-tenant scheduling strategies to improve system efficiency.
• Enhance the reliability and fault tolerance of large-scale distributed jobs and platform components.
• Collaborate with cross-functional teams to align platform capabilities with workload requirements.
• Contribute to platform tooling, automation, and CI/CD workflows.

Requirements

• 7+ years of experience building and operating distributed systems or infrastructure platforms.
• Strong production-grade experience with Kubernetes and container orchestration.
• Proficiency in Golang and Python.
• Experience designing and operating large-scale batch compute systems.
• Experience with batch scheduling systems such as Kueue, Armada, Volcano, or Slurm.
• Must comply with U.S. national security laws (U.S. person status and/or citizenship status required).