Senior GPU Infrastructure & Automation Engineer
Crusoe
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
Crusoe seeks a Software Engineer to join the Data Center Infrastructure Engineering team. You will develop software for managing a fleet of GPU servers and the data centers housing them, focusing on diagnostics, observability, automation, and repair tooling for high-performance GPU clusters.
The role requires hands-on problem solving, independence, and ensuring health and scalability of Crusoe’s rapidly growing GPU fleet.
Qualifications
- Proven software engineering experience.
- Ability to identify problems and ship scalable solutions.
- Strong in distributed systems and cloud platforms (Kubernetes, IaC, GCP).
- Proficiency in at least one of Go, Python, Java, Rust.
Responsibilities
- Develop deep-level diagnostics and troubleshooting for GPU racks and high-density compute systems.
- Build automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X.
- Develop automation and AI agents for component-level diagnosis and remediation of hardware.
- Collaborate with data center ops to develop tooling and AI agents for critical environment management.
- Create post-repair validation tools (burn-in, PyTorch, NVIDIA NCCL) to ensure stability.
- Own deployment, monitoring, and support of tooling to maximize GPU fleet availability.
- Develop automation for facilities management power and direct liquid cooling systems.
Skills
Tools
Job description
Crusoe seeks a Software Engineer to join the Data Center Infrastructure Engineering team. You will develop software for managing a fleet of GPU servers and the data centers housing them, focusing on diagnostics, observability, automation, and repair tooling for high-performance GPU clusters.
The role requires hands-on problem solving, independence, and ensuring health and scalability of Crusoe’s rapidly growing GPU fleet.
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