Software Development Engineer, Frontier AI

- 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

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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, WA, BELLEVUE - 143,700.00 - 194,400.00 USD annually
Are you passionate about building the data foundations that power next-generation AI experiences? We're looking for a Software Development Engineer II to join our team within the Frontier AI Organization, where you'll play a critical role in designing and scaling data preparation pipelines that fuel next gen model development. In this role, you will:

- Architect and build robust, scalable data processing systems that ingest, transform, and enrich large-scale datasets across multiple languages
- Drive data quality by developing automated validation frameworks, quality tracking tools, and drift-detection mechanisms to ensure the highest standards of data integrity
- Optimize end-to-end pipelines, from ingestion through segmentation, enrichment, and delivery, to accelerate model training timelines
- Collaborate cross-functionally with applied scientists, ML engineers, and product teams to define data requirements and deliver production-ready datasets that meet evolving model needs
- Innovate at scale by leveraging cloud-native technologies to process petabyte-scale corpora efficiently and cost-effectively