Senior Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers

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. If you want to shape the physical hardware that frontier models train on, this is the role. 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. What You Will Do You will define the hardware that runs the world's largest AI training workloads. Your designs span thermal, mechanical, power, and signal integrity across GPU-accelerated platforms. You will drive validation from first silicon through fleet-scale deployment, triage failures correlating across PCIe, power delivery, memory, and accelerator interconnects, and feed root cause findings back into design improvements. When a new server platform launches at a large scale, the architecture, component choices, and quality gates are yours. Why You Will Love It The world's most advanced frontier models train on the hardware you design. You will see your architecture decisions scale to a large fleet of servers. The team is deeply technical and high-trust — you own platforms end to end from architecture definition through fleet operations. The Ideal Candidate You think across the full hardware stack — from silicon packaging and power delivery to rack-level thermal and mechanical design. You are as comfortable reviewing a schematic as you are analyzing fleet failure data. You drive quality through data, not assumption, and you hold design partners to the same standard you hold yourself. You mentor and develop junior engineers, contribute to hiring, and share your expertise to make the team stronger. Key job responsibilities Architecture & Design 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) Validation & Bring-up 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 Fleet Quality & Continuous Improvement 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 Cross-Team Collaboration 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. A day in the life A Day in the Life You start the day reviewing thermal and power validation data from an EVT build at your ODM partner. Mid-morning, you join a design review to close signal integrity findings on a high-speed accelerator interconnect. In the afternoon, you triage a fleet quality signal — correlating component-level failure data with manufacturing lot information to identify a systemic issue. You end the day aligning with architecture teams on requirements for the next-generation platform. About the team 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. Minimum qualifications - 7+ years of equivalent experience - Experience in developing functional specifications, design verification plans and functional test procedures - Experience in server technologies such as, thermal, mechanical, power, and signal integrity - Bachelor's degree or above in electrical engineering, computer engineering, or equivalent - 5+ years of Design/Innovation, research & development, manufacturing, process, industrial engineering, or related experience - Experience leading process improvement, systems development, and project management - Experience in English-language communication skills, both written and verbal - In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, GPU, SSDs, memory), BIOS, BMC, and networking Preferred qualifications - Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps - Experience leading engineering teams as a mentor or tech lead, or experience with general troubleshooting/debugging of hardware - 7+ years of new hardware product development experience, e.g. server, storage, networking, or large-scale distributed systems experience - In-depth expertise in one or more server technologies: thermal/mechanical 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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. 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. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually