Senior Infrastructure Engineer
CrusoeCloud Engineering$183k – $210kPosted 24 February 2026
Job Description
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.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:Perform deep-level diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems.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 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.What You’ll Bring to the Team: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:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to t ... (truncated, view full listing at source)
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