Staff Software Engineer (Cloud Infrastructure)

Crusoe; San Francisco (CA); On-site; USD 215,000 - 260,000; Full time

Benefits offered by this job

Hybrid work schedule

Industry competitive pay

Restricted Stock Units

Health insurance

401(k) with match

Job summary

Crusoe is seeking a GPU Fleet Operations Engineer to join our Fleet Operations team. You will diagnose, maintain and repair high-density GPU clusters across our data center fleet, ensuring uptime and performance.

The role requires hands-on hardware troubleshooting, firmware updates, and close collaboration with data center operations and engineering. The ideal candidate has strong Linux skills, experience with NVIDIA A100/H200 GPUs, and proficiency in Go, with a track record of working in

Qualifications

• Hands-on experience diagnosing and repairing GPU rack-mounted hardware.
• Experience with NVIDIA A100, H200, GB200, B200, B300, and AMD 350X/355X.
• Strong Linux experience and command-line diagnostics.
• Ability to work in fast-paced data center environments.

Responsibilities

• Automate deep-level diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems.
• Develop software to troubleshoot and support GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X.
• Execute component-level diagnosis and remediation for failed or degraded hardware.
• Partner with data center operations to manage and perform FRU repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware.
• Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance.
• Implement preventative maintenance procedures to improve fleet reliability and extend hardware lifespan.
• Perform firmware and BIOS upgrades across the GPU fleet.
• Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems.
• Develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows.
• Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and implement preventative solutions.
• Participate in a rotating infrastructure on-call schedule (about one week every 4–6 weeks) with daytime coverage and handoff to the Europe team.

Skills

Golang

Linux administration

GPU architectures

Diagnostics & repair

Communication

Education

Bachelor's degree in Electrical Engineering or Computer Science

Tools

NVIDIA DCGM

NVIDIA field diagnostic utilities

InfiniBand

NVLink

RoCE

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 GPU Fleet Operations Engineer to join Crusoe’s Fleet Operations team. This role is focused on the advanced diagnosis, maintenance, and repair of high-performance GPU compute clusters, ensuring maximum uptime, reliability, and performance across our fleet.

The ideal candidate will be hands-on with GPU rack-level troubleshooting and work closely with data center operations, engineering, and vendors to support cutting-edge infrastructure featuring the latest NVIDIA and AMD GPUs. This position plays a critical role in maintaining the health and scalability of Crusoe’s rapidly growing GPU fleet.

What You’ll Be Doing:

• Automate deep-level diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems.
• Develop software to troubleshoot and support GPU platforms including NVIDIA A100, H200, GB200, B200, B300 and AMD 350X / 355X.
• Execute component-level diagnosis and remediation for failed or degraded hardware.
• Partner with data center operations to manage and perform field-replaceable unit (FRU) repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware.
• Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance.
• Implement and execute preventative maintenance procedures to improve fleet reliability and extend hardware lifespan.
• Perform firmware and BIOS upgrades across the GPU fleet.
• Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems.
• Develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows.
• Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and implement preventative solutions.
• Participate in a rotating infrastructure on-call schedule (about one week every 4–6 weeks) with daytime coverage and handoff to the Europe team.
  

What You’ll Bring to the Team:

• Ability to code in Golang
• Proven experience diagnosing and repairing high-density, rack-mounted compute hardware in production environments.
• Deep understanding of GPU architectures and hands-on experience with GPU-based systems.
• Experience supporting NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X series platforms.
• Familiarity with high-speed interconnects such as InfiniBand, NVLink, and RDMA over Converged Ethernet (RoCE).
• Strong Linux experience (Ubuntu, Rocky Linux, CentOS) using the command line for diagnostics and testing.
• Proficiency with GPU and system diagnostic tools such as NVIDIA DCGM and NVIDIA field diagnostic utilities.
• Experience working with enterprise server hardware, power delivery, and cooling systems.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently in a fast-paced data center or operations environment.

Nice to Have:

• Technical certification or Associate’s/Bachelor’s degree in Electrical Engineering, Computer Science, or a related field or demonstrated experience.
• Experience working directly with hardware vendors and escalations.
• Background in large-scale GPU fleet operations or hyperscale data center environments.

Benefits:

• Hybrid work schedule
• 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 pay period

Compensation Range:

Compensation will be paid in the range of $215,000 - $260,000. 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.