Application deadline: Sep 1, 2026

Do you want to become the go-to GPU expert for the world's largest Artificial Intelligence accelerator fleet, and grow that expertise faster than anywhere else in the industry?

This is a role where you will deepen your GPU expertise at a pace and scale that doesn't exist outside of hyperscale cloud, working directly with the industry's leading GPU vendors, analyzing behaviors across hundreds of thousands of accelerators, and defining standards that govern production deployment. If you have started to develop GPU or accelerator depth and want a position where you own the full lifecycle at fleet scale, this is the role!

AWS Hardware Engineering is looking for a Senior Hardware Development Engineer to own the technical roadmap across all AI accelerator platforms in the organization. You will be the single-threaded owner of GPU lifecycle from defining hardware, firmware and diagnostics requirements, qualification through field operations and translating fleet-scale failure data into vendor action.

Key job responsibilities

GPU Component Lifecycle & Strategy

- Own the technical relationship with vendors across all platforms in the portfolio: roadmap alignment, escalations, partnerships.

- Own qualification of new GPU SKUs and baseboard assemblies during NPI bring-up define test plans, acceptance criteria, and production readiness gates

- Define and maintain GPU firmware qualification criteria across the org pass/fail gates, staged rollout policy, regression detection methodology

- Drive RMA strategy: build failure evidence packages, negotiate acceptance criteria with vendors, manage submission quotas and pipeline velocity

Fleet-Scale Failure Analysis

- Lead root-cause analysis on fleet-wide GPU failure modes (component errors, PCIE interface errors, thermal events, link degradation, manufacturing escapes) using telemetry, event log data, and vendor diagnostics

- Set GPU health standards: define the metrics, thresholds, and alerting that platform teams execute against

- Define GPU fleet health dashboards: identify relevant telemetry, failure rate trends, replacement pipeline status, firmware version distribution, qualification status

Vendor Engagement & Cross-Team Leadership

- Represent the organization in technical discussions with leading vendor's engineering translate fleet-scale patterns into prioritized vendor action items

- Partner with server teams to ensure consistent GPU operational practices; provide expertise without owning their execution

- Present GPU fleet health, replacement pipeline status, and qualification progress to senior leadership (VP-level) regularly

- Mentor engineers on GPU failure analysis methodology

A day in the life

No two weeks look the same. You might be engaging with our GPU vendor's engineering team on future roadmap options and how upcoming architecture changes affect our technical strategy. You might be defining technical requirements to enable AWS to optimize how we deploy and manage GPUs at scale translating fleet failure patterns into firmware feature requests. You might be analyzing thermal and error behaviors across tens of thousands of systems to develop predictive models that catch failures before they impact customers. Or you might be building the data package that proves a manufacturing defect to a vendor and recovers millions in component value.

What's consistent: you are the GPU component owner. You see every failure mode, every firmware release, every new SKU qualification. You develop expertise at a rate that isn't possible when you only see one system at a time here you see hundreds of thousands, and you use that scale to become the person both AWS and our vendors turn to for answers.

Located in Cupertino, Seattle, or Denver, you work with global hardware teams, vendor engineering, and cross-AWS accelerator initiatives.

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

PREFERRED QUALIFICATIONS

- 7+ years hardware engineering experience

- Direct experience with data center GPUs and associated tooling

- Experience developing or influencing server roadmap

- Track record of influencing vendor engineering priorities through failure evidence

- Familiarity with GPU thermal management, power delivery, and PCIe and interconnect architectures

- Experience with firmware lifecycle management at scale (qualification, staged rollout, regression detection, rollback)

- Comfortable presenting to VP-level audiences

- Experience working horizontally across multiple platform teams without direct authority

- Strong data analysis skills at fleet scale (statistical failure modeling, trend detection, threshold setting)

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, CO, Denver - 159,200.00 - 215,300.00 USD annually

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