Staff Hardware Systems Engineer

The role

You will drive the full hardware development and sustaining lifecycle for high-performance compute systems. This includes debugging, validation, and production support for GPU- and CPU-based infrastructure.

What you will do

• Drive the full hardware development and sustaining lifecycle.
• Develop and maintain scripting and automation frameworks for hardware testing.
• Lead deep troubleshooting and debugging across PCIe, InfiniBand, and NVMe/storage.
• Conduct system validation and characterization for GPU, CPU, and high-performance compute platforms.
• Support E2E integration and solution testing.
• Collaborate with mechanical, thermal, firmware, software, and manufacturing teams.
• Drive prototyping, qualification, and readiness for high-volume manufacturing.
• Identify opportunities for new hardware technologies and sustainability improvements.
• Provide data-driven insights to influence hardware roadmap and reliability strategy.

Required qualifications

• 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.
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience.

Nice to have

• 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.

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. They use an energy-first approach to build AI infrastructure.