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. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About This Role:

The Networking Engineering team at Crusoe designs, builds, and deploys the critical network infrastructure that powers our AI-optimized cloud. The team owns connectivity across the edge, backbone, and data center fabrics to ensure high-performance networking for GPU-intensive workloads. They focus on large-scale network deployment, capacity expansion, and operational excellence, bringing new infrastructure online while maintaining reliability across a globally distributed footprint.

What You’ll Be Working On:

• Gain a foundational understanding of production networks and their complexities.
• Learn about common deployment challenges faced by the Network deployment team and explore ways to automate those workflows.
• Design and develop tools to streamline network deployment.
• Collaborate with the Tools and Observability team to understand how production-scale tools are built and maintained.
  
  
  

What You’ll Bring to the Team:

• Educational Background: Graduating with a Bachelor’s or Master’s program in Computer Science, Networking, or a related field, with a graduation date between December 2025 or Spring 2026.
• Networking Knowledge: Solid understanding of TCP/IP fundamentals and the networking stack.
• Scripting Skills: Proficiency in scripting with languages such as Python, Golang, or similar, focusing on automation.
• Soft Skills: Strong analytical thinking, communication, and teamwork abilities, with a fast-learning mindset and adaptability across teams.
  
  
  

What You’ll Gain:

• Real-world experience working with AI/ML-driven production networks and automating key operational workflows.
• Insight into the daily challenges of network operations/deployment and how automation can solve them.
• A broader perspective on the role of networking within software development and system architecture.
• The chance to make a meaningful impact by contributing to improving network and deployment / operational processes.
  
  
  

Benefits:

• Industry Competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• 5 days in office
• Paid Parental Leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $300/month
  
  
  

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.

Compensation Range

Compensation will be paid in the range of up to $100,000-117,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.