A
Amazon
Software Development Engineer
Skills
JavaC#GitMachine LearningAI
1 month ago
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Important information
Salary:
$143,700 – $194,400 / year
Location:
Los Angeles, CA, USA
Work mode:
Onsite
Published on:
15 October 2026
What they need
Who you are
- You are an autonomous software engineer who thrives in ambiguity and can make sound architectural decisions
- You have strong skills in distributed systems and full-stack development are essential, along with the ability to collaborate effectively across teams
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 5+ years of non-internship professional software development experience
- 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
What the job involves
- As a Software Development Engineer II, you'll work on technology that enables natural, intuitive experiences across multiple device types
- Design and implement scalable systems for real-time processing and multimodal AI integration
- Build core components of a horizontal capability that powers visual understanding across Amazon's device ecosystem
- Partner with cross-functional teams to deliver end-to-end customer experiences
- Solve complex technical challenges in distributed systems, real-time processing, and API design
- You'll work on high-impact projects that directly shape upcoming product launches. This role offers the opportunity to tackle Amazon's hardest technical problems while building technology that will fundamentally change how people interact with AI assistants
- You'll collaborate with talented engineers, ML scientists, and product teams in a fast-paced, innovative environment
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