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CrusoeCrusoeSan Francisco, CA

Staff Hardware Systems Engineer

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.

Skills

PcieInfiniBandNvmePythonShellGPUCpuNvlinkArmX86Server ArchitectureHardware DebuggingSystem ValidationAutomation Frameworks
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