Staff HPC Systems Software Engineer (AI)

TL;DR

Staff HPC Systems Software Engineer (Go/Python): Defining the technical direction and evolution of a Slurm-based HPC platform for a GPU cloud with an accent on cloud-native integration and automation. Focus on designing scalable cluster lifecycle models, optimizing GPU scheduling, and ensuring high-performance networking using InfiniBand and RDMA.

Location: Must be based in the US

Salary: $225,000 - $275,000 USD

Company

hirify.global is a high-performance GPU cloud provider engineered specifically to support AI startups and large enterprise customers.

What you will do

• Own and evolve the technical direction for HPC systems domains, including Slurm platform architecture and scheduler integrations.
• Define architectural patterns for packaging, automating, and exposing Slurm implementations as a service.
• Drive cross-team design for integrations between Slurm, Kubernetes-adjacent systems, and infrastructure APIs.
• Establish shared standards for automation, observability, reliability, and supportability across the HPC platform.
• Lead technically critical initiatives spanning multiple engineering teams to reduce technical divergence.
• Contribute hands-on code to de-risk critical work and provide technical escalation for complex domain issues.

Requirements

• Extensive experience designing production software for HPC systems and Slurm-based environments.
• Strong proficiency in Go, Python, or similar languages for building resilient and testable software.
• Deep practical understanding of GPU-backed infrastructure and HPC networking (InfiniBand, RoCE, RDMA).
• Proven ability to define technical direction across multiple teams or complex system domains.
• Experience integrating HPC systems with cloud-native platforms and service delivery models.
• Must be based in the United States

Nice to have

• Experience with Kueue or other batch system schedulers.

Culture & Benefits

• Highly competitive US compensation package including base salary, bonus, and equity.
• Performance reviews conducted every 12 months with a dynamic progression plan.
• Human-First Flexibility policy providing autonomy to shape your own workday.
• Comprehensive benefits package including medical, dental, vision, and retirement plan participation.
• Opportunity to directly shape how global AI capacity is planned and deployed.