Job description

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 THE ROLE: 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. WHAT YOU’LL BE DOING: - 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 WHAT YOU’LL BRING TO THE TEAM: - 4-6 years of software engineering experience. - 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. - Ability to set the technical direction for a specific project and execute. - Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.) - Strength in at least one programming language - Go, Python, Java, Rust. - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. - Ability to work independently and within a team NICE TO HAVE: - Experience with Temporal and Kubernetes. - Experience working directly with hardware vendors. - Background in large-scale GPU fleet operations or hyperscale data center environments. 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 - 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; $50 per pay period Compensation Range Compensation will be paid in the range of up to $170,000 - $205,000 + 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.

Requirements

Must-haves

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.
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
4-6 years of software engineering experience.
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.
Ability to set the technical direction for a specific project and execute.
Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.)
Strength in at least one programming language - Go, Python, Java, Rust.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work independently and within a team

Nice-to-haves

Experience with Temporal and Kubernetes.
Experience working directly with hardware vendors.
Background in large-scale GPU fleet operations or hyperscale data center environments.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesgcpgopythonjavarust

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave