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As a Software Development Engineer, you will be responsible for defining, building and supporting the system design, architecture, and software for Ring IoT products. As a member of our team, you will be interacting closely with the business and cross-functional engineering teams across different organizations to gather engineering requirements, design and implement new features. You will contribute to all aspects of an agile software & systems development life cycle including design, architecture, development, documentation, testing and operations. You are the engineer that works with your team on solving the hard problems; you are technical, you attack every problem with enthusiasm.
- Key job responsibilities
- Dive deep and works to help solve critical design issues involving algorithm, develop hardware/software/firmware interfaces, IoT interfaces, etc
- Participate in design reviews for complex embedded systems, simulations, algorithms and software development owned by your team and partner teams
- Influences within your team and partner teams to help drive and develop the technical implementation for overall system designs
- Identify and implement process improvements which improve your team’s agility. This may include improvements to design, automation, development, test or operations.
- Define and/or refine system requirements, participate in the development and delivery of Interoperability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation.
- Develop embedded software in C/C++
A day in the life
Your work is very hands-on and multi-disciplinary. You will be working closely with vendors, engineers, and product teams. You write documents, carry out experiments, demonstrate proof-of-concepts, build prototypes, and ship sophisticated systems.
About the team
Ring's mission is to reduce crime in neighborhoods. Ring is committed to offering smart security solutions that are dependable and reliable. You will be part of a fast-paced team that is passionate about delivering innovative solutions to complex problems.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in embedded development in C/C++
- Knowledge of machine learning model architecture and inference
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with AI/ML technologies
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, Sunnyvale - 165,200.00 - 223,600.00 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
Technical Knowledge
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