Senior Hardware Systems Engineer

• We are seeking a Hardware Production / Sustaining Engineer to strengthen Crusoe’s Hardware Systems Engineering team and close critical skill gaps in debugging, validation, and production support of high-performance compute systems
• In this role, you will take ownership of the full hardware lifecycle—from prototype bring-up to large-scale production—while driving automation, deep issue resolution, and reliability across Crusoe Cloud’s GPU- and CPU-based infrastructure
• 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
• 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

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges

• We’re looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services
• If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe
• Excellent communication and collaboration skills for working with internal teams and external partners
• Strong hands-on expertise in PCIe, InfiniBand, and NVMe/storage debugging and development
• Strong analytical and problem-solving skills with a data-driven approach
• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience
• Technical background in digital and analog design, server architecture, and high-performance compute hardware
• Ability to design and implement automation frameworks for hardware testing (Python, Shell, or similar)
• Deep proficiency in hardware bring-up, board-level debugging, and system-level validation
• 4-8 years of experience in hardware development, validation, sustaining engineering, or production engineering
• Experience working across thermal, mechanical, firmware, and software functions in multidisciplinary environments
• 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
• Advanced certifications or coursework in AI/HPC hardware systems
• Background in sustainable or energy-efficient hardware design practices