Senior Software Engineer, GPU Fleet Reliability

Crusoe Energy Systems; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health benefits

Paid time off

401(k) match

Mental wellness resources

Job summary

Crusoe Energy Systems is seeking 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, building diagnostics, observability, automation, and repair tooling for high-density compute clusters.

The role emphasizes hands-on problem solving, independence, and helping scale Crusoe's GPU fleet with robust tooling and AI-assisted diagnostics across NVIDIA and AMD platforms.

Qualifications

• 4–6 years of software engineering experience.
• Strong in at least one programming language (Go, Python, Java, Rust).
• Experience with distributed systems, reliability, and cloud platforms.
• Experience with Kubernetes and Temporal.
• Experience working with hardware vendors and GPU fleet operations.

Responsibilities

• Develop software for managing a fleet of GPU servers and data centers.
• Build advanced diagnostic, observability, automation, and repair tooling for GPU clusters.
• Own deployment, monitoring, and operational support of tooling to maximize fleet availability and performance.
• Collaborate with data center operations to create tooling for facilities management including cooling.

Skills

Go

Python

Java

Rust

Distributed systems

Kubernetes

GCP

Tools

Temporal

Kubernetes

Infrastructure as Code

NVIDIA NCCL

Job description

Crusoe Energy Systems is seeking 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, building diagnostics, observability, automation, and repair tooling for high-density compute clusters.

The role emphasizes hands-on problem solving, independence, and helping scale Crusoe's GPU fleet with robust tooling and AI-assisted diagnostics across NVIDIA and AMD platforms.