Senior Staff Software Engineer, DC Infrastructure

About Crusoe

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads.

Crusoe’s Data Center Infrastructure Engineering (DCIE) team provides infrastructure for Crusoe’s fleet GPUs and data centers, sitting at the nexus of high performance computing and AI infrastructure as a service. The team owns deployment, maintenance, observability, critical environments, and automation.

About the Role

We are seeking a highly skilled Software Engineer to join Crusoe’s DCIE team. This position is focused on the development of software for managing a fleet of GPU servers and data centers. The role centers on developing and implementing advanced diagnostic, observability, automation, and repair tooling for high-performance GPU compute clusters.

What You'll Be Doing

• Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems.
• Developing troubleshooting and automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X.
• Developing automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware.
• Developing innovative tooling and AI agents in conjunction with data center operations for managing the critical environment.
• Developing tooling for post-repair validation and testing tools such as burn-in, PyTorch, and NVIDIA NCCL to ensure system stability and performance.
• Owning the deployment, monitoring, and operational support of developed tooling to maximize GPU fleet availability and performance.
• Developing automation and operational tooling for facilities management power as well as direct liquid cooling hardware systems.

What You'll Bring to the Team

• Software engineering experience.
• The ability to identify a problem, rapidly develop a scalable solution, and ship it.
• Ability to assist team members working on critical or complex technical initiatives.
• Ability to set technical direction for a specific project and execute.
• Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP, etc.).
• Strength in at least one programming language: Go, Python, Java, or Rust.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently and within a team.

Nice to Have

• Experience with Temporal and Kubernetes.
• Experience working directly with hardware vendors.
• Background in large-scale GPU fleet operations or hyperscale data center environments.