As a Cloud Hardware Development Engineer, you will take ownership of the entire lifecycle of AI/ML/GPU server platforms, from New Product Introduction to fleet health in production. You will collaborate with various teams to design and develop solutions that meet technical and business needs. This role requires a deep technical curiosity and the ability to solve complex problems across hardware, firmware, and software layers. You will also focus on ensuring system reliability and driving automation to enhance operational efficiency.

• Bachelor's degree in electrical engineering, computer engineering, or equivalent.
• 2+ years of hardware design, development, and validation experience for server or compute platforms.
• Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems.
• 5+ years of hardware design and validation of components, subsystems, and systems experience.
• Experience testing hardware/mechanical sub-components, research and data analysis skills, and/or Printed Circuit Board (PCB) layout best practices.
• 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 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.
• Experience with large-scale datacenter or cloud environments.

• Own the end-to-end NPI lifecycle for storage and/or accelerator server platforms.
• 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.
• Drive qualification and readiness milestones, ensuring new platforms meet performance, reliability, and cost targets.
• Design and implement predictive failure detection systems using telemetry and sensor data.
• Debug complex system failures and perform root cause analysis across various layers.
• Collaborate with hardware, software, manufacturing, supply chain, and product management teams.
• Identify early potential problems onboarding new servers into customer ecosystems.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.