Senior Hardware Systems Engineer
Crusoe is an AI infrastructure and cloud computing company. It provides GPU compute, AI model training and inference, developer tools, managed orchestration, data centers, and energy infrastructure for AI builders and enterprise customers.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Crusoe, Inc
Crusoe designs, builds, and operates energy-first AI infrastructure, including high-performance data centers, modular AI factories, and Crusoe Cloud. Its cloud platform provides NVIDIA and AMD GPU compute, scalable storage, high-performance networking, managed Kubernetes and Slurm, observability, model training, fine-tuning, and inference services. Crusoe serves AI developers, startups, enterprises, and teams running production-scale AI workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Support the full hardware lifecycle from prototype bring-up through production by building testing automation, validating GPU and CPU platforms, debugging PCIe, InfiniBand, and NVMe systems, investigating failures, supporting integration and production readiness, and resolving system-level issues across engineering and manufacturing functions.
Requirements
- 4-8 years of experience in hardware development, validation, sustaining engineering, or production engineering
- Hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development
- Proficiency in hardware bring-up, board-level debugging, and system-level validation
- Ability to implement hardware testing automation using Python, Shell, or similar languages
- Background in digital and analog design, server architecture, and high-performance computing hardware
- Experience working across thermal, mechanical, firmware, and software functions
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience
Responsibilities
- Drive the hardware development and sustaining lifecycle
- Develop and maintain hardware testing and diagnostics automation
- Debug PCIe link training, topology, and performance issues
- Debug InfiniBand fabric, throughput, and connectivity issues
- Investigate NVMe and storage bottlenecks, firmware interactions, and failures
- Validate and characterize GPU, CPU, and high-performance computing platforms
- Support end-to-end integration and solution testing
- Resolve system-level issues with multidisciplinary teams
- Drive prototyping, qualification, and high-volume manufacturing readiness
- Provide data-driven insights for hardware roadmaps and reliability strategy
Benefits
- Restricted Stock Units