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Amazon is building the next generation software, hardware, and processes to run our state-of-the-art global fulfillment network that moves many millions of units of inventory, ensuring that customers get what they want when promised. We are constantly innovating in the ways we are automating and accelerating the delivery of packages which includes custom robotics, mechatronics, conveyance, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed systems.
We are looking for a software development engineer with a passion to transform the way we integrate robotics within our global network of advanced warehouses. This position is a unique opportunity to be involved in a wide range of automation projects right from the start. You will collaborate with multiple internal Amazon R&D and design teams as well as automation strategic partners who have the technology and resources to meet Amazon’s growth needs on a global scale.
This role is in a newly established team which will create edge compute solutions for industrial automation applications. It is an early-stage initiative with a fast paced, highly collaborative start-up like environment inside Amazon. To be successful you need to be flexible and entrepreneurial. You are a true owner - you are hands on and you set examples to be emulated. You will be responsible for all the aspects of the software development cycle including scoping, design, implementation, testing, and delivery of your product. This is a unique opportunity to define edge-based solutions where the cloud meets the real world in the heart of our fulfillment centers. The ideal candidate will enjoy working at multiple layers of the stack from the low-level machine controls layer up through embedded Linux applications and cloud-based solutions to interface with and manage fleets of real-world devices.
- Key job responsibilities
- Integrate with a diverse array of internally and externally developed hardware and software services
- Implement continuous integration and continuous deployment (CI/CD) pipelines
- Validate solutions via software-in-the-loop simulation
- Work closely with deployment teams to implement end-to-end solutions in the field
- Develop infrastructure to support development, operations, and maintenance of low level software for warehouse automation systems
About the team
You will be joining the Control Grid(CG) team within OneMHS, where you'll drive impactful initiatives while working alongside teams developing AI and ML solutions for our Material Handling Systems (MHS).
We're building more than just a unified equipment services platform – we're creating the foundation for next-generation ML and AI applications in material handling systems. Our team combines expertise in distributed systems, industrial automation, cloud architecture, and machine learning to deliver solutions that impact millions of customers daily.
Basic Qualifications
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of non-internship professional software development experience
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- 2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience
- Experience with AWS technologies
- Travel up to 20% of the time
- 3+ years of experience developing Saa
S and IaaS applications utilizing AWS CDK in TypeScript:
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, VA, Arlington - 143,700.00 - 194,400.00 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
$1.5T
Valuation
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
4 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total per 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
Technical Knowledge
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