Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers

About the Role

AWS operates the world's largest fleet of GPU-accelerated servers powering AI/ML training and inference at cloud scale. Our team defines the server architectures, drives the hardware designs, and owns the fleet quality for these platforms — from component selection through datacenter operations.

We are seeking a Cloud Hardware Development Engineer to define server architectures based on workload demand, translate them into detailed component specifications, and drive validation from PCBA bring-up through rack integration. You will lead ODM design partners through development and production, triage hardware issues across manufacturing and datacenters, and own fleet quality metrics post-launch.

Key Job Responsibilities

• Define server architectures based on workload demand and customer requirements, translating them into detailed designs and component specifications that enable high-performance AI training and inference at scale
• Work with interdisciplinary teams of component, firmware, test, qualification, and integration engineers to deliver cohesive designs
• Drive design reviews with ODM/JDM partners covering schematic, layout, BOM, and manufacturing DFx (Design for Test, Design for Manufacturing)
• Define and execute validation strategies from PCBA bring-up through server and rack integration — covering power sequencing, signal integrity, thermal characterization, and accelerator interconnect performance
• Own hardware debug during EVT/DVT/PVT builds, correlating failures across PCIe, power rails, memory channels, and GPU subsystems
• Triage hardware issues at both ODM facilities and datacenters, conduct root cause analysis, and implement corrective actions
• Own fleet quality metrics post-launch: server-level annualized failure rates and component-level failure modes
• Monitor operational telemetry to identify systemic issues and drive design or process changes for current and future platforms
• Partner with test and automation teams to improve manufacturing yield and reduce test dwell times
• Work with EC2 architecture teams to align on instance definitions, workload requirements, and platform trade-offs
• Drive ODM/JDM design partners through development milestones and production ramp
• Collaborate with firmware, software, and operations teams to ensure designs are debuggable, serviceable, and automation-ready
• May require occasional (<10%) regional and international travel to Design and Manufacturing Partner sites

Basic Qualifications

• Bachelor's degree in electrical engineering, computer engineering, or equivalent
• Experience in developing functional specifications, design verification plans and functional test procedures
• 7+ years of hardware design and development experience for server, compute, or large-scale infrastructure platforms
• Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems
• Experience leading hardware development through full product lifecycle (concept through production ramp)

Preferred Qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field
• 5+ years of experience working with ODMs through the product development and manufacturing lifecycle (EVT, DVT, PVT)
• In-depth expertise in high-speed bus design, signal integrity analysis, or power delivery for GPU/accelerator platforms
• 5+ years of experience with hardware bring-up, debug, and root cause analysis across PCIe, NVMe, memory, and accelerator interconnects
• Experience owning fleet quality metrics and driving design improvements based on operational failure data
• Experience with thermal/mechanical design for high-power-density compute platforms (liquid cooling, air cooling, or hybrid)
• Experience working in large-scale datacenter or cloud environments
• Track record of defining engineering standards and design best practices adopted across teams or partner organizations

About the Team

The Hardware Engineering AI/ML UltraServer platform team is a group of engineers and technical program managers directly responsible for launching GPU-accelerated servers into the AWS fleet. Located in Seattle, Austin, and Cupertino, we collaborate with global development teams and ODM partners to deliver next-generation AI/ML infrastructure deployed in datacenters worldwide. We move fast with small, empowered teams delivering end-to-end — from server conception through fleet-scale operations.

Compensation and Benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

• USA, CA, Cupertino — 183,000.00 – 247,600.00 USD annually
• USA, TX, Austin — 159,200.00 – 215,300.00 USD annually
• USA, WA, Seattle — 159,200.00 – 215,300.00 USD annually

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

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