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

Amazon is hiring a Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers in Cupertino, United States. It pays $183k-$248k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions Pcba, GPUs and Pcie among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and validate GPU-accelerated server architectures and hardware platforms powering hyperscale AI training and inference.

PcbaGPUsPcie

hardware-architecturesignal-integritythermal-designhardware-validationroot-cause-analysis

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.

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.

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.

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.

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 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

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, TX, Austin - 159,200.00 - 215,300.00 USD annually
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

How we rate this

Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Cloud Hardware Dev Engineer, AWS Generative AI & ML Servers is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $183k-$248k a year.
The role is based in US, CA, Cupertino.
The job was posted on September 9, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Hardware ArchitectureSignal IntegrityThermal DesignHardware ValidationRoot Cause AnalysisPcbaGPUsPcie

Questions you could be asked

Tell me about a project where hardware architecture was part of your work. What did you do?
Tell me about a project where signal integrity was part of your work. What did you do?
Tell me about a project where thermal design was part of your work. What did you do?
Tell me about a project where hardware validation was part of your work. What did you do?
Tell me about a project where root cause analysis was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Hardware Architecture, Signal Integrity, Thermal Design, Hardware Validation, and Root Cause Analysis. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker