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Cloud Hardware Development Manager, AWS Gen AI & ML Servers

Amazon


Job Location:

Cupertino, CA - USA

Monthly Salary: Not provided by the employer
Posted: 30 August 2026 (7 hours ago)
Application Deadline: 27 November 2026
Vacancies: 1 Vacancy

Job Summary

AWS operates the worlds 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 Manager to lead a team of hardware systems development engineers and technical program managers responsible for the design validation manufacturing and fleet operations of GPU-accelerated server platforms. You will set technical direction for your team manage ODM and silicon supplier partnerships drive hardware programs from concept through production ramp and own fleet reliability metrics. This role requires deep hardware expertise to guide technical decisions combined with people leadership to hire develop and retain a high-performing engineering team.

What You Will Do
You will lead hardware engineers who define the platforms running the worlds largest AI workloads. You will set technical strategy for your teams hardware portfolio working alongside product and leadership teams making trade-offs between schedule cost reliability and performance. You will guide your engineers through ambiguous design problems while removing blockers and ensuring delivery. You will own the end-to-end lifecycle of your teams hardware from architecture definition through fleet operations and be accountable for fleet quality metrics including annualized failure rates and system availability.

Why You Will Love It
The worlds most advanced frontier models train on the hardware your team designs. You will build and lead the engineers who define GPU server platforms at unprecedented scale. Your decisions on architecture components and quality directly impact fleet reliability for customers within weeks of deployment. The team is deeply technical and high-trust with direct access to senior leadership and the freedom to set technical direction.

The Ideal Candidate
You combine deep hardware expertise with strong people leadership. You have designed or led teams that delivered server hardware at scale and you can still dive into a schematic review or signal integrity issue when needed. You set high standards for your team and your partners make data-driven decisions and communicate clearly to both engineers and executives. You build teams that are stronger because of your presence but dont require it to be successful.

Key job responsibilities
Technical Leadership & Strategy

* Set technical direction for your teams hardware portfolio across GPU-accelerated server platforms making architecture and component trade-offs aligned with customer requirements and business goals
* Guide system-level design decisions across thermal mechanical power delivery signal integrity and accelerator subsystems including trade-offs on cooling architecture (liquid vs. air) power budget allocation and PCIe/interconnect topology
* Drive design reviews qualification gates and go/no-go decisions with deep technical judgment
* Own fleet reliability and availability for your teams hardware; drive continuous improvement to reduce failure rates

People Leadership & Development

* Hire develop and retain a team of hardware and system software engineers; build a high-performing team culture focused on engineering excellence and customer obsession
* Set clear goals provide regular feedback and actively coach engineers through career growth as part of 1:1s
* Perform calibrations and promotion assessments; ensure your teams technical bar remains high
* Create an inclusive team environment where engineers can do their best work

Program Delivery & ODM Management

* Drive hardware programs from concept through manufacturing and fleet deployment ensuring milestones are met across NPI phases (Program Initiation Design Qualification Pilot Post-GA)
* Lead ODM and silicon supplier partnerships: establish technical standards drive design reviews manage EVT/DVT/PVT builds and hold partners accountable for quality and schedule
* Identify program risks early escalate with data and proposed mitigations and unblock cross-functional dependencies

Fleet Operations & Quality

* Own operational metrics for your teams server platforms: annualized failure rates system availability manufacturing escape rates
* Drive root cause analysis of fleet-wide failures and ensure corrective actions flow back into design requirements and qualification criteria for future platforms
* Establish closed-loop feedback systems connecting field failure data to upstream design and manufacturing improvements

Cross-Functional Alignment

* Align with EC2 architecture teams on instance requirements workload characterization and platform roadmaps
* Partner with firmware software test automation and datacenter operations teams to ensure hardware is debuggable serviceable and automation-ready
* Communicate technical strategy program status and risk posture to senior leadership

May require occasional (<10%) regional and international travel to Design and Manufacturing Partner sites.


A day in the life
You start the day in a 1:1 with one of your engineers coaching them through a design trade-off on power delivery for a next-gen accelerator platform. Mid-morning you lead a design review with your ODM partner driving closure on open signal integrity items from the DVT the afternoon you review fleet reliability data with your team identifying a component failure trend and aligning on corrective actions. You end the day in a planning session with senior leadership presenting your teams hardware roadmap and resource needs for the next platform generation.

About the team
The Hardware Engineering AI/ML Ultraserver platform team is a group of engineers and technical program managers directly responsible for launching and maintaining GPU-accelerated servers in the AWS fleet. Located in Seattle Cupertino and Austin we work with internal engineering teams ODMs and design partners to deliver next-generation AI/ML infrastructure deployed in datacenters worldwide. We move fast with small empowered teams.

- Bachelors degree or above in Electrical or Mechanical Engineering or Bachelors degree in computer science engineering mathematics or equivalent
- 7 years of hardware development experience for server compute networking or storage platforms
- 1 years of experience managing hardware engineering teams
- Experience driving hardware development programs (servers racks networking or storage) through full product lifecycle including design validation manufacturing and deployment
- Experience working with ODMs or manufacturing partners through product development and production
- Experience in one or more server technologies: thermal/mechanical design power delivery high-speed signal integrity reliability or accelerator subsystems

- Masters degree or above in Electrical Engineering Mechanical Engineering or a related field
- 5 years of experience managing multi-discipline hardware development teams delivering products at datacenter scale
- Experience leading ODM and silicon supplier partnerships across multiple geographies establishing technical standards and driving quality frameworks
- Track record of owning fleet quality metrics (annualized failure rates system availability) and driving design improvements based on operational data
- Knowledge of datacenter infrastructure constraints including networking power space and cooling
- Experience with GPU/accelerator server platforms NPI processes (EVT DVT PVT) or hardware qualification programs
- Demonstrated ability to communicate technical strategy and influence senior executives through written narratives
- Track record of hiring developing and retaining high-performing hardware engineering talent

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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA Cupertino - 201300.00 - 272400.00 USD annually
USA TX Austin - 175100.00 - 236900.00 USD annually
USA WA Seattle - 175100.00 - 236900.00 USD annually


Required Experience:

Manager


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