Cloud Hardware Dev Engineer, AWS AI/ML UltraServers

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
• 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

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. Basic

Qualifications

• - Bachelor's
• degree in electrical engineering, computer engineering, or equivalent
• - Experience in server technologies such as, thermal, mechanical, power, and
• signal integrity
• - Experience in developing functional specifications, design verification plans
• and functional test procedures
• - 2+ years of hardware design, development and validation experience for server
• or compute platforms

Preferred Qualifications

• - Master's degree in Electrical
• Engineering, Computer Engineering, or a related technical field
• - Experience with analog, digital, and high-speed circuit design
• - Experience working in data centers or critical infrastructure
• - 2+ years of experience working with ODMs through product development and
• manufacturing lifecycle
• - 2+ years experience working with hardware bring-up, debug, or validation of
• GPU/accelerator platforms
• - Familiarity with PCIe topology, NVMe, and accelerator interconnects
• - Experience developing and executing test procedures for electrical or
• mechanical systems
• 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
• [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
• [https://amazon.jobs/en/benefits].
• USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually
• USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
• USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually