Staff HPC Systems Software Engineer

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential GPU cloud infrastructure organization seeking a Staff HPC Systems Software Engineer. This is a remote, staff-level position where you'll define technical direction and evolution of core HPC platform capabilities. You'll work across engineering boundaries to bring coherence to architecture, interfaces, and operational approaches while partnering with teams working on platform tooling, infrastructure APIs, and cloud-native systems.

Responsibilities

• Own and evolve technical direction for HPC systems domains including Slurm platform architecture, scheduler integrations, cluster lifecycle, and workload environments
• Make architectural decisions balancing software quality, operational realities, customer needs, and long-term maintainability
• Define how Slurm implementations should be packaged, automated, and exposed as services
• Resolve ambiguity around ownership, interfaces, lifecycle boundaries, and operating models across teams
• Establish shared patterns for automation, service lifecycle management, observability, and reliability across the HPC platform
• Drive cross-team design for integrations between Slurm, Kubernetes-adjacent systems, infrastructure APIs, and identity systems
• Create reusable modules, automation, deployment patterns, and reference implementations
• Lead technically critical initiatives spanning 2-4 teams or defined HPC platform areas
• Contribute hands-on where needed to de-risk or accelerate critical work
• Partner with cloud-native software engineers to build on shared platform patterns

What We're Looking For

• Extensive experience designing and building production software and automation for HPC systems, especially Slurm-based environments
• Strong track record writing maintainable, testable, and resilient software in Go, Python, or similar languages
• Proven ability to define technical direction across domains spanning multiple teams or services
• Strong understanding of Slurm internals, scheduler behavior, cluster lifecycle concerns, and operational trade-offs
• Practical understanding of GPU-backed infrastructure and HPC networking including InfiniBand, RoCE, RDMA, and performance-sensitive workload characteristics
• Experience integrating HPC systems with cloud-native platforms, APIs, or service delivery models
• Experience creating engineering leverage through standards, reusable patterns, shared tooling, and architectural clarity
• Strong judgment balancing short-term delivery with long-term platform health and supportability
• Strong written and verbal communication skills with ability to align multiple teams around coherent technical direction
• Experience with other schedulers or batch systems such as Kueue is valuable

How We Work With You

When you apply through Get A Job.ai, one of our recruiters will review your profile and conduct an initial screening. If there's a strong match, we'll submit your application to our client for consideration. Please do not contact the client directly, as all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and will work with you to accommodate any specific needs during the recruitment process.