Senior Staff Software Engineer, DC Infrastructure

About the role

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 are seeking a highly skilled and motivated Software Engineer to join Crusoe's Data Center Infrastructure Engineering team. This role 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 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. You will own the deployment, monitoring, and operational support of developed tooling, ensuring solutions maximize GPU fleet availability and performance to drive customer success. The team owns deployment maintenance, observability, critical environment management, and automation. You will develop automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware.

Key facts

What you'll do

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.

Owning 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.

Writing and maintaining scalable, observable, and resilient software that integrates with existing cloud and on-premise infrastructure.

Collaborating closely with cross-functional teams to define, build, and deliver features that meet strict reliability and performance targets.

Contributing to on-call rotations to support critical production issues and driving rapid resolution.

Implementing observability pipelines, metrics, and alerting to provide deep insight into system health and performance.

Refactoring legacy scripts and workflows into robust, maintainable services that improve reliability and developer velocity.

Participating in design reviews and ensuring best practices for security, scalability, and maintainability are followed.

Mentoring junior engineers through code reviews, pair programming, and knowledge sharing sessions.

Requirements

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.

Practical notes

This role may require occasional travel to client sites or Crusoe offices.

Candidates must be authorized to work in the United States without sponsorship for this position.

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; $300 per month

Compensation Range

Compensation is based on role, experience, and location. This role is eligible for an annual equity grant. The target base salary range for this position in San Francisco, CA is $170,000 - $220,000 per year. Additional details regarding Crusoe's compensation and benefits policies will be discussed during the interview process.