Staff Software Engineer (Cloud Infrastructure)
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/14/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will diagnose, maintain, and repair high-performance GPU compute clusters. You will automate hardware fault diagnosis, develop software for NVIDIA and AMD GPU platforms, perform component repairs and validation testing, manage firmware upgrades, document maintenance, create troubleshooting procedures, and investigate systemic failures.
Requirements
- Ability to code in Golang
- 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 and 355X platforms
- Familiarity with InfiniBand, NVLink, and RoCE
- Strong Linux experience with Ubuntu, Rocky Linux, and CentOS
- Proficiency with NVIDIA DCGM and NVIDIA field diagnostic utilities
- Experience with enterprise server hardware, power delivery, and cooling systems
- Experience working with hardware vendors and escalations
- Background in large-scale GPU fleet operations or hyperscale data center environments
Responsibilities
- Automate diagnosis and troubleshooting of hardware faults within GPU racks
- Develop software to troubleshoot and support GPU platforms
- Execute component-level diagnosis and remediation for failed or degraded hardware
- Perform field-replaceable unit repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware
- Conduct post-repair validation, burn-in, Torch, and NVIDIA NCCL testing
- Implement preventative maintenance procedures
- Perform firmware and BIOS upgrades across the GPU fleet
- Document maintenance activities, failures, and resolutions
- Develop and update standard operating procedures for troubleshooting, repair, and validation
- Identify root causes of systemic failures and implement preventative solutions
- Participate in a rotating infrastructure on-call schedule
Benefits
- Hybrid work schedule
- Industry competitive pay
- Restricted Stock Units
- Health insurance options including HDHP and PPO
- Vision insurance
- Dental insurance
- Employer contributions to HSA accounts
- Paid parental leave
- Paid life insurance
- Short-term and long-term disability insurance
- Teladoc
- 401(k) with 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 of $300 per pay period