Software Development Engineer, Amazon Quick

About the role

We're a high-ownership team building AI capabilities for Amazon Quick from the ground up. Our philosophy is simple: we use what we build. Every day, the team relies on our own product to manage tasks, triage notifications, draft documents, and stay organized - if something doesn't work for us, we fix it before it ships to anyone else. The team spans applied science and engineering, and we operate more like a startup than a large org. You'll work closely with scientists on memory systems and retrieval, with frontend engineers on the client experience, and directly with customers who use the product daily. We value end-to-end ownership, strong opinions loosely held, and shipping delightful experiences over shipping features. We believe trust is earned through safety - our architecture is designed with least-privilege principles from the ground up, giving users full transparency and control over what the AI can see and do. If you care about building AI systems that are genuinely useful and responsible, you'll fit right in. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.

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
• 1+ years of software development engineer or related occupational experience
• 1+ 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
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 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.
• 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 suppo

Additional Information

We build 1P AI capabilities - Deep Research, Artifact Generation, and Image Generation - for Amazon Quick Desktop, running within a unified cloud runtime. We're transforming how knowledge workers interact with an intelligent desktop companion that's connected to their messages, calendar, files, and workflows. As an SDE on this team, you'll design and build the AI-powered experiences that users interact with daily. You'll own the end-to-end lifecycle of these capabilities - from prompt engineering and orchestration logic to integration with foundation models, external data sources, and the desktop runtime. The problems are varied and interesting: how do you generate a high-quality research report from ambiguous user intent? How do you produce reliable, well-formatted artifacts (documents, presentations, visualizations) from natural language? How do you generate images that match a user's creative intent with the right style, composition, and fidelity?

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