Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Mental Health
•Healthcare
•401k
•Equity
•Parental Leave
•Mental Health
Required Skills
Systems engineering
Hardware design
Hardware validation
Hardware/software integration
Real-time systems
Software testing
Every day, Amazon engineers are relentlessly working to decrease the time between clicking and delivery for our customers. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many millions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. Our environment is global and complex with a variety of software and systems, including industrial machines and protocols. We are constantly innovating in the ways we are automating and accelerating the delivery and receive of products and packages which includes building custom hardware and applying machine learning, image processing, and real-time data processing using distributed systems. We are looking for a Hardware Development Engineer, capable of developing next-gen Industrial computer vision machines and automation solutions for AFT. This position will be exposed to the development of HW products design, optimization, diagnostics development and equipment design. You will work closely with an internal interdisciplinary team, and outside partners to drive key aspects of product definition, execution and test. You must be responsive, flexible and able to succeed within an open collaborative environment. In this role, you will design and develop solutions involving robotics, computer vision machine and industrial machine. You will participate in large-scale HW projects, supporting global deployments of equipment. This position will be filled with a candidate identified as a future leader, capable of driving AFT into the lead of Industrial HW machine design and we are looking for candidates who are up to the task
- Key job responsibilities
- Evaluate system architecture through comprehensive testing; applying systems engineering fundamentals
- Lead integration efforts for computer vision hardware, collaborating with HW, ME, platform, EE, and SW teams
- Oversee system design, test, and debug of complex hardware technologies focusing on requirements, interfaces, and performance
- Develop system validation strategies for manufacturing, system bring-up, and evaluation
- Analyze requirements, break down complex issues, and collaborate across teams to resolve integration challenges promptly
- Lead architecture reviews between development teams and suppliers, ensuring proper interface management
- Assess supplier capabilities with focus on system integration, provide risk mitigation, and conduct impact assessments
- Analyze EV and PV build data from systems perspective, present performance summaries, and adjust specifications based on findings
- Lead troubleshooting across software, firmware, and hardware domains, identifying root causes and engaging partners for resolution
- Support integration activities at manufacturing facilities and Fulfillment Centers, ensuring successful system deployment
Basic Qualifications
- Experience in hardware design and validation of components, subsystems and systems
- Experience troubleshooting and debugging technical systems
- Experience with hardware/software integration and real-time systems
- Knowledge of software test techniques and strategy
- Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, or related technical field plus minimum 8+ years of experience in systems engineering for hardware products
Preferred Qualifications
- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
- Experience leading highly technical programs involving infrastructure, complex systems, systems engineering
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, WA, Bellevue - 137,300.00 - 185,700.00 USD annually
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About Amazon

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+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
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