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We are actively seeking an exceptional Staff Software Engineer to join our cloud software team, focusing specifically on building and operating Slurm as a fully managed cloud service within Crusoe Cloud. This role is crucial for delivering next-generation orchestration capabilities to power GPU-accelerated and high-performance computing (HPC) at scale. Your expertise will be instrumental in designing and scaling our carbon-reducing operating model, and advancing our AI training clusters to lead the industry in reliability and performance. You will shape the technical direction of systems that allow customers to run advanced workloads across CPUs, NVIDIA and AMD GPUs, and high-performance networking environments. You will be involved in writing and reviewing code, contributing to proposals, and drafting architecture documents. You will evaluate tools and frameworks, considering their impact on reliability, scalability, operational costs, and ease of adoption.
Job Responsibility:
Lead the development and engineering of our managed Slurm offering, providing a seamless experience for AI/ML and HPC customers who rely on robust Slurm job scheduling
Contribute to the development of scalable and robust software solutions, closely aligning with the strategic objectives outlined in the Crusoe Cloud roadmap
Design, build, and maintain Kubernetes operators and controllers dedicated to managing the lifecycle, configuration, and state of large-scale Slurm clusters
Drive the integration of GPU acceleration in the Slurm environment, including device plugin architecture, GPU operators, accelerator-aware scheduling, and resource allocation
Ensure that high-performance networking technologies, such as InfiniBand and RoCE, are correctly leveraged for distributed GPU workloads running through Slurm
Implement and manage features such as multi-tenancy, cluster lifecycle management, auto-scaling, and high availability for the managed Slurm control plane services
Develop scalable systems to compete with leading managed services
Support the development of your peers by sharing knowledge and providing guidance in technical discussions
Requirements:
7+ years of experience working in software engineering, with strong experience in Systems Engineering
Experience in distributed systems, cloud, or HPC environments is a must
2+ years of programming experience in GoLang
Strong proficiency in other systems languages (Rust, C++, Python for HPC tooling) is also beneficial
Extensive experience with Kubernetes and Linux Engineering and debugging
Deep knowledge of Slurm (Simple Linux Utility for Resource Management) administration and the architecture required for managing compute jobs in high-performance environments
Skilled in infrastructure as code and familiar with systems-level challenges, ideally with experience utilizing Terraform
Understand Argo, CI/CD, and Automated Testing pipelines
Can design system architecture, taking ownership of system architecture, including CI/CD pipelines, while ensuring adherence to security standards
Strong knowledge of container networking (CNI plugins, service meshes) and Linux networking fundamentals
Familiarity with GPU integration in Kubernetes, including device plugins and GPU operators
Excellent communication skills, both verbal and written
What we offer:
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability