Software Engineer (Data Center Infrastructure Engineering)

• We are seeking a highly skilled and motivated Software Engineer to join Crusoe’s Data Center Infrastructure Engineering team. This position is focused on the development of software for the management of a fleet of GPU servers as well as the data centers that house those systems
• The role focuses on the developing and implementing advanced diagnostic, observability, automation and repair tooling for high-performance GPU compute clusters
• Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems
• 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

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges- The ideal new team member will be a hands-on problem solver who is comfortable working independently. The new team member will play a critical role in maintaining the health and scalability of Crusoe’s rapidly growing GPU fleet
• 1 year of software engineering experience
• Strength in at least one programming language - Go, Python, Java, Rust
• Ability to work independently and within a team
• Excellent communication and collaboration skills
• Ability to set the technical direction for a specific project and execute
• Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.)
• The ability to identify a problem, rapidly develop a scalable solution and ship it
• Ability to lean in and assist team members working on critical or complex technical initiatives
• Strong analytical and problem-solving skills
• Background in large-scale GPU fleet operations or hyperscale data center environments
• Experience working directly with hardware vendors
• Experience with Temporal and Kubernetes