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# Software Engineer l

- **Company:** Crusoe's Inc
- **Location:** San Francisco, CA, United States
- **Salary:** $132,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Cloud Computing, Computer Clusters, Computer Engineering, Distributed Systems, Python (Programming Language), Kubernetes, Golang, Programming Languages
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=524862de38d37756

## About the Role

* Education: Completing a degree in Computer Engineering, CS, or a related field (Graduating Dec '25 - May '26).
 * Technical Chops: Proficiency in at least one of these programming languages Go, Python, Java, or Rust, with a solid grasp of distributed systems and cloud platforms (Kubernetes, GCP).
 * Bias for Action: The ability to identify a problem, build a scalable solution, and ship it.
 * Collaborative Mindset: Ready to "lean in" on complex technical initiatives and set the direction for specific projects.
 * Problem Solver: A hands-on approach to troubleshooting both software and hardware challenges.

Bonus Points

 * Hands-on experience with Temporal or Kubernetes.
 * Previous internships or projects involving large-scale data environments., This position is not eligible for employer-sponsored work authorization. Candidates must be authorized to work in the United States at the time of hire and maintain ongoing work authorization without employer sponsorship

## Description

Crusoe's Data Center Infrastructure Engineering (DCIE) team sits at the heart of our AI mission. We build the software that powers and manages our global fleet of GPUs. As a New Grad, you won't just be maintaining systems-you'll be building the automation and AI-driven tooling that keeps the world's most powerful hardware running at peak performance., * Build the "Check-Engine" Light: Create deep-level observability and diagnostic tools to monitor the health of high-density compute systems.

 * Validate Performance: Build testing suites (using PyTorch and NCCL) to ensure systems are battle-ready before they hit production.
 * Bridge Software & Hardware: Develop automation for critical facility systems, including power management and advanced liquid cooling.
 * Own Your Impact: Take full ownership of your tools-from initial code to deployment and operational support.


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