Crusoe designs, builds, and operates energy-first AI infrastructure. Its offerings include Crusoe Cloud for GPU-based training, fine-tuning, inference, and managed services, alongside AI-optimized data centers and energy infrastructure.

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Skills

Architecture Automation Cpu Debugging Engineering Gpu Hardware Infiniband Manufacturing Nvme Pcie Python Reliability Server Shell Storage Validation

Candidate Availability

Onsite · Sunnyvale · Required

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