Senior Staff Software Engineer (DC Infrastructure)

• 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
• Crusoe’s Data Center Infrastructure Engineering (DCIE) team is fundamental to our mission of providing AI hardware and infrastructure as a service
• The team provides infrastructure for Crusoe’s fleet GPU’s and data center
• The team sits at the nexus of high performance computing and AI infrastructure as a service
• The DCIE team owns, deployment maintenance, observability, critical environment, and automation
• The team builds, and maintains GPU clusters, develops automation for logical and physical maintenance, provision systems, and observability tooling
• 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
• 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
• 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 ability to identify a problem, rapidly develop a scalable solution and ship it
• Ability to set the technical direction for a specific project and execute
• Strong analytical and problem-solving skills
• Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.)
• Software engineering experience
• Ability to work independently and within a team
• Excellent communication and collaboration skills
• Strength in at least one programming language - Go, Python, Java, Rust
• Ability to lean in and assist team members working on critical or complex technical initiatives
• Experience with Temporal and Kubernetes
• Experience working directly with hardware vendors
• Background in large-scale GPU fleet operations or hyperscale data center environments