Software Development Engineer , Alexa Device Platform Team

Requirements

• 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 programming with at least one software programming language
• 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
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, TX, Austin - 143,700.00 - 194,400.00 USD annually

Additional Information

The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create? We are looking for a talented and passionate Embedded Software Engineer to be part of an exciting team. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of products used every day, by people you know. In this role, you will: - Be responsible for system architecture and development of new features for embedded systems - Investigate, prototype and deliver new and innovative system solutions - Profile, Analyze and optimize system level performance - Design, develop and verify firmware for embedded systems - Participate in design reviews, API development, and documentation - Work with new technologies that are vital to product development - Deliver investigation plans and reports, architectural documents, design specs, software and firmware source code, build scripts - Perform tasks including debug, bring-up, Beta and production software development - Successfully collaborate with both software and hardware product teams - Demonstrated expertise in building AI bots and integrate AI tools into the standard workflow to improve team's support load and test automation

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