5 дней назад
Software Development Engineer (Generative AI)
165 200 - 223 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Development Engineer (Generative AI): Building and optimizing core components of Amazon Quick, an enterprise AI assistant that connects organizational data sources and enables secure, machine learning-powered workflows, with an accent on scalability, performance, and fault tolerance. Focus on designing distributed systems, solving complex engineering challenges for agentic AI services, and delivering reliable large-scale software with broad business impact.
Location: Santa Clara, California, United States
Salary: $165,200–$223,600 annually, plus sign-on payments and restricted stock units.
Company
Amazon AI develops cloud and enterprise productivity solutions powered by artificial intelligence, including Amazon Quick and Amazon Q Business.
What you will do
- Design, develop, and optimize core platform components for Amazon Quick.
- Build scalable, efficient, and fault-tolerant services that power generative and agentic AI experiences.
- Deliver strategic technical projects and large-scale, multi-tiered software systems.
- Address complex engineering challenges involving distributed applications, reliability, and performance.
- Provide technical leadership on complex issues and mentor other engineers.
- Collaborate with AI/ML practitioners, applied scientists, software engineers, and solution architects to deliver customer-focused solutions.
Requirements
- Based in Santa Clara, California, United States.
- 3+ years of non-internship professional software development experience.
- 2+ years of experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
- Experience developing large-scale, multi-tiered, multi-threaded, embedded, or distributed applications using C#, C++, Java, or Perl.
- Experience with object-oriented design and at least one programming language.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
Nice to have
- Experience with machine learning systems.
- 3+ years covering the full software development life cycle, including coding standards, code reviews, source control, builds, testing, and operations.
- Bachelor's degree in Computer Science or equivalent.
Culture & Benefits
- Work alongside AI/ML practitioners, applied scientists, software engineers, and solution architects.
- Health, dental, vision, prescription, life, and AD&D insurance options.
- 401(k) matching, paid time off, parental leave, and flexible spending accounts.
- Mental health support, an employee assistance program, and a medical advice line.
- Adoption and surrogacy reimbursement coverage.
- Sign-on payments and restricted stock units may be included in the compensation package.
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