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Added 3 mins ago
Senior AI Engineer
MiniMed
CA
…lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate…
Added 4 mins ago
Lead Director Product Membership
CVS Health
Remote, United States
Lead Director- Digital Product – Membership, Engagement & Retention
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Senior Full-Stack Software Engineer
True Talent Solutions Partners
Redwood City, CA
- $215,000 to $290,000 USD / year
- Lead projects from architecture through production, owning implementation, deployment, and iteration.
Added 4 mins ago
Senior Sales Training Consultant - Idira
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San Luis Obispo, CA
As a Senior Sales Training Consultant for Idira , you will lead the charge in equipping our global field sales organizations with the knowledge, skills, and strategic playbooks required to…
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Clinical Specialist CRM - Burbank / Sherman Oaks
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…infectious disease, and radiation, while wearing 7-9 lbs. of lead for extended periods, utilizing computers and mobile devices, and maintaining the vision capabilities necessary to support…
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Staff Machine Learning Engineer
Disney Entertainment
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- $158,100 to $211,900 USD / year
The Staff Machine Learning Engineer is part of the Creative Technology Platform organization within Studio Technology. This role leads applied deep learning work in computer vision and…
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Research Engineer, Agentic Infrastructure, liftlab - Stanford Law School
Stanford University
Stanford, CA
Stanford Law School’s Legal Innovation through Frontier Technology Lab (liftlab) is seeking a Research Engineer to design and implement the software systems that make the lab’s research…
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Applied Research Lead, AI for Teaching
Stanford University
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…and validate models. You do not need to be a machine learning engineer, but you do need to be fluent enough to work directly with data and with partners’ engineering…
Added 5 mins ago
Network Implementation Engineer
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…own-build terrestrial fiber capacity. The Network Implementation Engineer is responsible for overall implementation, deployment and technical delivery of Greenfield & Brownfield fiber…
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Software Engineer - Traffic Capacity & Performance
Meta
Menlo Park, CA
Software Engineer - Traffic Capacity & Performance Responsibilities:
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Senior Lead Software Engineer - Agentic AI SRE Platform
JPMorgan Chase
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As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and…
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Senior Lead Software Engineer- AI/ML Training Infrastructure
JPMorgan Chase
Palo Alto, CA
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, Infrastructure Platforms team, you will play a critical role in designing, building, and operating secure,…
Added 5 mins ago
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the…
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Senior Software Development Engineer in Test, Confidential Computing - SDET
Nvidia
Santa Clara, CA
We are looking for Senior Software Development Engineer in Test to join our Confidential Computing team for NVIDIA's Enterprise SWQA team. Are you passionate about new feature development,…
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Senior Technical Product Manager, Infrastructure Resilience
Nvidia
Santa Clara, CA
Lead community engagement for open-source platform projects, including contribution models, ecosystem partnerships, and developer adoption.
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Application Engineer
Cadence Design Systems, Inc.
San Jose, CA
- $157,500 to $292,500 USD / year
Technical Expertise: Lead technical engagements with customers and partners to achieve best-in-class PPA, working closely with design teams to meet customer success metrics, guiding…
Added 5 mins ago
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HVAC Engineer
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- $45 to $65 USD / hour
As a CBRE HVAC Engineer, you will be responsible for maintaining mechanical and electrical equipment for complex commercial HVAC systems by conducting proactive performance testing and…
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AI Manager/Lead - Lead Data Engineer II
Deloitte
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As a Lead Data Engineer II on the AI & Engineering team, you will be responsible for:
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Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Sacramento, CA
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 5 mins ago
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Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Sacramento, CA
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 5 mins ago
Senior Data Engineer
Capgemini
San Francisco, CA
We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities The ideal candidate…
Added 5 mins ago
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Senior Systems Engineer, AM&D Services & Products
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San Francisco, CA
- $171,000 to $190,000 USD / year
As a Senior Systems Engineer in our Autonomous Mobility & Delivery (AM&D) group, you will play a pivotal role in shaping the future of autonomous transportation at Uber.
Added 6 mins ago
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Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
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- $131,000 to $174,000 USD / year
Drive consistent incident, problem, and change management across pods; lead resolution of high-severity escalations and root cause analysis.
Added 6 mins ago
Lead Software Engineer - ServiceNow
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As a Lead Software Engineer at JPMorganChase within the Infrastructure Platform ServiceNow IT Service Management , you are an integral part of an agile team that works to enhance, build,…
Added 6 mins ago
Software Engineer, Video SWE
Meta
Burlingame, CA · Sunnyvale, CA · San Diego, CA
…wearable experiences. We are looking for a Video Codec Software Engineer to build and optimize codec implementations and hardware-accelerated media pipelines for resource-constrained…

Closed listing

Amazon

Senior Accelerator Engineer, Cloud AI/ML server team

Seattle, WA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 7+ years of hardware design and development experience for server, compute, or large-scale infrastructure platforms
Posting language: English
Posted: Aug 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description

Application deadline: Nov 5, 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.

About the team

AWS Hardware Engineering designs and delivers next-generation cloud infrastructure -- the servers, accelerators, and storage platforms that power AWS. Our team builds and operates custom AI accelerator systems at global scale, spanning GPU platforms from manufacturing through multi-year fleet operations. We are directly responsible for the most expensive and supply-constrained components in the AWS fleet.

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)

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

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

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