You will work closely with cross-functional teams to support, debug, and improve hardware platforms at scale, with a particular focus on PCIe, InfiniBand, and NVMe/storage, which have been identified as essential areas for deeper expertise. Your work will directly impact Crusoe’s ability to deploy and operate sustainable, AI-first compute systems with world-class performance and reliability.
What You’ll Be Working On
Drive the full hardware development and sustaining lifecycle, including feasibility, bring-up, validation, deployment, and ongoing production support.
Develop and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability improvements.
Lead deep troubleshooting and debugging across
PCIe (link training, topology, performance issues)
InfiniBand (fabric debugging, throughput, connectivity issues)
NVMe/storage (performance bottlenecks, firmware interactions, failure analysis)
Conduct rigorous system validation and characterization for GPU, CPU, and high-performance compute platforms.
Support E2E integration and solution testing to ensure Crusoe Cloud products meet performance, reliability, and scalability expectations.
Collaborate with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level issues and enable stable production operation.
Drive prototyping, qualification, and readiness for high-volume manufacturing with both internal teams and external vendors.
Identify opportunities for new hardware technologies, testing methods, and sustainability improvements aligned with Crusoe’s long-term objectives.
Provide data-driven insights to influence Crusoe’s hardware roadmap and reliability strategy.
What You’ll Bring to the Team
4-8 years of experience in hardware development, validation, sustaining engineering, or production engineering.
Strong hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development.
Deep proficiency in hardware bring-up, board-level debugging, and system-level validation.
Ability to design and implement automation frameworks for hardware testing (Python, Shell, or similar).
Technical background in digital and analog design, server architecture, and high-performance compute hardware.
Experience working across thermal, mechanical, firmware, and software functions in multidisciplinary environments.
Strong analytical and problem-solving skills with a data-driven approach.
Excellent communication and collaboration skills for working with internal teams and external partners.
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience.
Bonus Points
Experience designing or optimizing GPU-to-GPU communication architectures for AI/ML workloads.
Direct experience integrating NVLink or other next-generation GPU interconnect technologies.
Familiarity with cutting-edge GPU architectures and how to leverage them in AI/HPC environments.
Expertise supporting or designing systems across both ARM and x86 server architectures.
Background in sustainable or energy-efficient hardware design practices.
Advanced certifications or coursework in AI/HPC hardware systems.
COMPENSATION RANGE
Compensation will be paid in the range of $170,000 - $205,000. 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.
