Staff Hardware Systems Engineer responsible for full lifecycle of high-performance GPU/CPU compute systems at Crusoe, with deep focus on debugging and validation of PCIe, InfiniBand, and NVMe/storage subsystems. Requires 8+ years experience, strong hardware expertise, and automation skills to ensure reliability and scalability of AI infrastructure.
208k – 253k
On-site8+ YOEHardware Engineering
About the role
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), and 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
8–10+ 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.
Benefits
Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Compensation: $208,000 - $253,000 + Bonus. Restricted Stock Units are included in all offers.
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