採用

Cloud Hardware Development Engineer, Cloud AI/ML/storage server teams
Cupertino, CA, USA
·
On-site
·
Full-time
·
4d ago
As a Cloud Hardware Development Engineer, you will be an end-to-end owner of storage and/or accelerator (AI/ML/GPU) server platforms — from New Product Introduction (NPI) through fleet health in production. You own the full lifecycle: design, development, qualification, launch, and ongoing operational excellence of servers running at scale in the AWS fleet.
You will work closely with internal customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect solutions we deploy at scale. To deliver your products, you will work with an interdisciplinary team of component, firmware, power, mechanical, electrical, test, qualification, manufacturing engineers, and lead our ODM (design and manufacturing partners) to bring these servers to the data center. After launch, you own the fleet — monitoring quality, driving reliability improvements, and ensuring servers continue to meet customer requirements throughout their
operational life.
This role demands deep technical curiosity and the willingness to jump in and personally solve the hardest problems. When a complex system failure occurs — whether during NPI qualification or in a production fleet of hundreds of thousands of servers — you roll up your sleeves, dive into the details across hardware, firmware, software, and physical layers, and drive to root cause. You don't wait for someone else to figure it out.
You will own end-to-end system reliability — proactively identifying deficiencies and driving toward zero-touch operations where automation detects, diagnoses, and resolves issues before customer impact. You will decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features, leading delivery yourself and through others in parallel.
This is a fast-paced, intellectually challenging position. You'll work with thought leaders in multiple technology areas, hold high standards for yourself and everyone you work with, and constantly look for ways to improve your products' performance, quality, and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
-
NPI — New Product Introduction
-
Own the end-to-end NPI lifecycle for storage and/or accelerator (AI/ML/GPU) server platforms — from architecture definition through design, qualification, manufacturing ramp, and launch
-
Lead technical solutions for complex server and rack system architectural challenges
-
Work with ODM/manufacturing partners to develop, validate, and manufacture server products at scale
-
Develop functional specifications, design verification plans, and test procedures
-
Drive qualification and readiness milestones, ensuring new platforms meet performance, reliability, and cost targets before fleet deployment
-
Identify and resolve technical risks early in the development cycle — don't let problems reach production
-
Fleet Health, Diagnostics & Automation
-
Own fleet health for the server platforms you launch — reliability doesn't end at ship
-
Design and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact
-
Drive toward zero-touch operations — help build detection, diagnoses, and remediation of faults without human intervention
-
Debug complex system failures in time-sensitive settings — personally diving deep when the problem demands it
-
Perform root cause analysis correlating across firmware, kernel, driver, thermal, power, and physical layers
-
Systems Design & Technical Depth
-
Apply expertise across hardware, software, system design, x86 architecture, processes, and operations (compute, storage, network, GPU)
-
Design and implement solutions to address system-level issues at large scale
-
Decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features
-
Collaborate with hardware, software, manufacturing, supply chain, and product management teams
-
Cross-Team Collaboration
-
Work closely with internal customers to ensure new server hardware meets data path and control path requirements
-
Identify early any potential problems onboarding new servers into customer ecosystems
-
Collaborate across Hardware Engineering, component, firmware, test, qualification, and integration teams
-
Partner with datacenter operations to close the loop between field failures and design improvements
A day in the life
Your day-to-day responsibilities include interfacing with internal and external customers to understand product requirements and facilitate system development on top of your server designs. You will learn operational challenges facing our existing fleet with the goal of improving the current customer experience and developing improved systems for future designs. You will work directly with vendors and ODM (manufacture partners) to scale your product. Some days you're reviewing a new platform design with your ODM; other days you're deep in logs and telemetry data chasing a failure mode across the fleet. You thrive
on that range.
Basic Qualifications
- Experience in developing functional specifications, design verification plans and functional test procedures
- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent
- Experience in English-language communication skills, both written and verbal
- Experience with design & innovation and research & development
- Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure
- Experience in server technologies such as, thermal, mechanical, power, and signal integrity
- 5+ years of professional work (non-internship) experience
Preferred Qualifications
- 5+ years of hardware design and validation of components, subsystems and systems experience
- Experience in server technologies: board design, high-speed bus design and signal integrity, failure analysis, server components (CPU, GPU, SSDs, memory), BIOS, BMC, and networking
- Experience developing and executing test procedures for mechanical or electrical systems/components
- Experience working with ODMs/manufacturer through the product development and manufacturing lifecycle
- Experience building predictive failure detection or proactive remediation systems at fleet scale
- Experience with storage/compute/GPU/accelerator platforms including integration, diagnostics, or performance validation
- Familiarity with PCIe topology, NVLink, NVMe, and accelerator interconnects
- Experience with large-scale datacenter or cloud environments
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 - 157,300.00 - 212,800.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
総閲覧数
0
応募クリック数
0
模擬応募者数
0
スクラップ
0
類似の求人

Applied AI Engineer - AI Solutions
Snorkel AI · Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)

AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
Databricks · Maryland; Virginia; Washington, D.C.

World Model Research Scientist- Physical AI
Kodiak Robotics · Mountain View, CA

Machine Learning Engineer, Discovery Recommendations
Epic Games · Cary,North Carolina,United States

Machine Learning Scientist (All Levels)
Abridge · SF Office
Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0件のレポート
$181,968
年収総額
基本給
-
ストック
-
ボーナス
-
$154,672
$209,264
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
Amazon vs. Walmart: This Isn't Even Close - The Motley Fool
The Motley Fool
News
·
2d ago
'Kevin' Review: Jason Schwartzman, Aubrey Plaza in Amazon Cat Cartoon - The Hollywood Reporter
The Hollywood Reporter
News
·
2d ago
Amazon's best weekend deals: Apple, Clinique, Yeti and more — save up to 70% - Yahoo
Yahoo
News
·
2d ago
Amazon Delivery Drones Involve a Perilous 10-Foot Drop. Users Are Posting the Apparent Results - Gizmodo
Gizmodo
News
·
2d ago