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Software Development Engineer Ii Applied Ai jobs at Amazon in United States, Seattle

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United States
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Seattle
4,003 jobs found
09.11.2025
A

Amazon Sr Machine Learning Compiler Engineer AWS Neuron Annapurna L... United States, Washington, Seattle

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09.11.2025
A

Amazon Software Engineer- AI/ML AWS Neuron United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
Description:
Description

Key job responsibilities
You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.About AWSWork/Life Balance
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.

Basic Qualifications

- 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


Preferred Qualifications

- 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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09.11.2025
A

Amazon Software Development Engineer North America Stores United States, Washington, Seattle

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Description:
Description


• Amazon Private Brands
• Consumer Electronics
• Consumables
• Consumer Behavior Analytics
• Fashion and Fitness
• Home Categories
• Marketing and Prime Technology
• Pricing and Promotions
• Shopbop
Key job responsibilities
Depending on your experience, interests and business needs, you will own the front-end, back-end, or full stack design and development of product features, building scale, efficiency, and differentiated customer experiences. We’re looking for software engineers passionate about building software solutions end-to-end, have strong software development experience delivering at scale solutions, and systems design skills. You should have a demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project. You should also have experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.A day in the life
Work/Life Balance
Mentorship & Career Growth

Basic Qualifications

- 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


Preferred Qualifications

- 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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09.11.2025
A

Amazon Applied Scientist Prime Air Navigation United States, Washington, Seattle

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Description:
Description

Key job responsibilities- Attainment of organizational performance goals and objectives relating to safety, security, availability, scaling, efficiency and cost
- Vendor management of Colo datacenter services providers to meet or exceed contracted performance SLA’s
- Safety, security, and availability incident response, incident management and incident resolution
- Continuous improvement of operational processes, procedures, methods and tools

Basic Qualifications

Bachelor's or Master’s degree in engineering, computer science or a related field, or relevant industry experience
- 10+ years of relevant management experience in data center operations, facility engineering operations, information technology critical environment facilities, advanced high-volume manufacturing or similar.
- Demonstrated track record in delivering complex projects
- Proven ability to hire, develop and manage high-performing technical teams
- Prior ownership of the operation of a mission-critical team and/or product
- Ability to operate independently as a manager of a geographically distributed management team
- Excellent written and verbal communications skills
- Excellent analytical, quantitative, and presentation skills
- Fluency in Spanish and English


Preferred Qualifications

- Expertise in one or more continuous improvement methodologies such as Lean or Six Sigma
- Substantial knowledge of mechanical, electrical, and controls systems in a critical or controlled environment.
- Broad knowledge of information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, technologies and architectures, IT service delivery principles and best practices.

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Limitless High-tech career opportunities - Expoint
Description:
Description

You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.Work/Life Balance
Mentorship & Career Growth

Basic Qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team


Preferred Qualifications

- Bachelor's degree in computer science or equivalent

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