Senior Infrastructure Software Engineer, GPU Fleet

Crusoe; Sunnyvale (CA); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Health insurance

401(k) with match

Tuition reimbursement

Cell phone reimbursement

Paid parental leave

Job summary

Crusoe is seeking a highly skilled Software Engineer to join the Data Center Infrastructure Engineering team. This role focuses on software for managing a fleet of GPU servers and the data centers that house them.

You will develop advanced diagnostics, observability, automation, and repair tooling for high‑performance GPU clusters, helping maintain health and scalability while maximizing uptime. The ideal candidate thrives on hands‑on problem solving and works well both independently and with

Qualifications

• Experience in software engineering for managing GPU compute clusters.
• Strong background in distributed systems and cloud platforms.
• Proficiency in Go, Python, Java, or Rust.

Responsibilities

• Develop deep-level diagnostics and troubleshooting of hardware faults in GPU racks.
• 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.
• In conjunction with data center operations develop innovative tooling and AI agents 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.
• Own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success.
• Developing automation and operational tooling for facilities management power as well as direct liquid cooling hardware systems

Skills

Go

Python

Java

Rust

Tools

Kubernetes

IaC

GCP

Job description

Crusoe is seeking a highly skilled Software Engineer to join the Data Center Infrastructure Engineering team. This role focuses on software for managing a fleet of GPU servers and the data centers that house them.

You will develop advanced diagnostics, observability, automation, and repair tooling for high‑performance GPU clusters, helping maintain health and scalability while maximizing uptime. The ideal candidate thrives on hands‑on problem solving and works well both independently and with