Staff HPC Systems Software Engineer (AI)

Location: New York, United States

Salary: $225,000–$275,000 USD annually base salary, plus potential bonus, equity, and/or commission.

Company

Nscale provides a GPU cloud infrastructure platform for AI startups and enterprise customers.

What you will do

• Own the technical direction and architecture of a defined HPC systems domain, including Slurm platforms, scheduler integrations, cluster lifecycle, workload environments, or service automation.
• Define how Slurm implementations are packaged, automated, and delivered as services across a cloud-native platform.
• Establish shared patterns for automation, service lifecycle management, observability, reliability, and operational supportability.
• Design integrations between Slurm, Kubernetes-adjacent systems, infrastructure APIs, identity systems, and platform tooling.
• Create reusable modules, deployment patterns, automation, and reference implementations while reducing technical divergence and duplicated effort.
• Lead critical initiatives across 2–4 teams, provide hands-on technical support, and influence engineering direction without formal authority.

Requirements

• Extensive experience designing and building production software and automation for HPC systems, especially Slurm-based environments.
• Strong software engineering experience with Go, Python, or similar languages, including maintainable, testable, and resilient software.
• Deep understanding of Slurm internals, scheduler behavior, cluster lifecycle concerns, and operational trade-offs.
• Practical experience with GPU-backed infrastructure and HPC networking, including InfiniBand, RoCE, RDMA, and performance-sensitive workloads.
• Experience integrating HPC systems with cloud-native platforms, APIs, or service delivery models.
• Ability to define technical direction, align multiple teams, and balance short-term delivery with long-term platform health.

Nice to have

• Experience with other schedulers or batch systems such as Kueue.

Culture & Benefits

• Collaborative, supportive, and innovation-focused working environment.
• Flexible workplace with autonomy over daily scheduling.
• Performance reviews every 12 months and a progression plan aligned with individual ambitions.
• Potential medical, dental, vision, flexible paid time off, parental leave, and retirement plan benefits.
• Opportunities to lead critical cross-functional initiatives and influence the planning and deployment of global AI capacity.