Senior Hardware Development Engineer, Cloud AI/ML Server Team

Application deadline: Sep 1, 2026

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 electrical, 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 Server 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, Denver, 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 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)
• 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 - 183,000.00 - 247,600.00 USD annually
• USA, CO, Denver - 159,200.00 - 215,300.00 USD annually
• USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually