Cloud Hardware Development Engineer, Cloud AI/ML/storage server teams

About the role

This role demands deep technical curiosity and the willingness to jump in and personally solve the hardest problems. When a complex system failure occurs — whether during NPI qualification or in a production fleet of hundreds of thousands of servers — you roll up your sleeves, dive into the details across hardware, firmware, software, and physical layers, and drive to root cause. You don't wait for someone else to figure it out.

Responsibilities

• NPI — New Product Introduction
• Own the end-to-end NPI lifecycle for storage and/or accelerator (AI/ML/GPU) server platforms — from architecture definition through design, qualification, manufacturing ramp, and launch
• Lead technical solutions for complex server and rack system architectural challenges
• Work with ODM/manufacturing partners to develop, validate, and manufacture server products at scale
• Develop functional specifications, design verification plans, and test procedures
• Drive qualification and readiness milestones, ensuring new platforms meet performance, reliability, and cost targets before fleet deployment
• Identify and resolve technical risks early in the development cycle — don't let problems reach production
• Fleet Health, Diagnostics & Automation
• Own fleet health for the server platforms you launch — reliability doesn't end at ship
• Design and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact
• Drive toward zero-touch operations — help build detection, diagnoses, and remediation of faults without human intervention
• Debug complex system failures in time-sensitive settings — personally diving deep when the problem demands it
• Perform root cause analysis correlating across firmware, kernel, driver, thermal, power, and physical layers
• Systems Design & Technical Depth
• Apply expertise across hardware, software, system design, x86 architecture, processes, and operations (compute, storage, network, GPU)
• Design and implement solutions to address system-level issues at large scale
• Decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features
• Collaborate with hardware, software, manufacturing, supply chain, and product management teams
• Cross-Team Collaboration
• Work closely with internal customers to ensure new server hardware meets data path and control path requirements
• Identify early any potential problems onboarding new servers into customer ecosystems
• Collaborate across Hardware Engineering, component, firmware, test, qualification, and integration teams
• Partner with datacenter operations to close the loop between field failures and design improvements

Qualifications

• Experience in developing functional specifications, design verification plans and functional test procedures
• Bachelor's degree or above in electrical engineering, computer engineering, or equivalent
• Experience in English-language communication skills, both written and verbal
• Experience with design & innovation and research & development
• Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure
• Experience in server technologies such as, thermal, mechanical, power, and signal integrity
• 5+ years of professional work (non-internship) experience

Preferred Qualifications

• 5+ years of hardware design and validation of components, subsystems and systems experience
• Experience in server technologies: board design, high-speed bus design and signal integrity, failure analysis, server components (CPU, GPU, SSDs, memory), BIOS, BMC, and networking
• Experience developing and executing test procedures for mechanical or electrical systems/components
• Experience working with ODMs/manufacturer through the product development and manufacturing lifecycle
• Experience building predictive failure detection or proactive remediation systems at fleet scale
• Experience with storage/compute/GPU/accelerator platforms including integration, diagnostics, or performance validation
• Familiarity with PCIe topology, NVLink, NVMe, and accelerator interconnects
• Experience with large-scale datacenter or cloud environments