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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
- 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
- Bachelor's degree in computer science or equivalent
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- 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
- 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 e-Commerce Service Group at Amazon Seattle is an agile team whose charter is to deliver the next generation of e-Commerce solutions. As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed real time systems. Using Java, object oriented and service design patterns, distributed databases, and other innovative storage techniques, you will build and deliver software systems that support complex and rapidly evolving business 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
- 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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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.
- 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
- 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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Key job responsibilities
- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- Mentor and guide junior scientists.
- Develop technology strategy and roadmap supporting product development
- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders
- PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience
- 8+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.
• Experience using Unix/Linux
• Experience in professional software development

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• 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
- 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
- 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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Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.The Senior Electric Propulsion Engineer will provide technical leadership within Kuiper's Propulsion Design Engineering team as a subject matter expert for the electric propulsion system. This position demands a combination of technical depth, leadership abilities, and systems engineering experience capable of driving innovation of spacecraft propulsion technologies that ultimately enable customer service via the Kuiper satellite constellation. In this role, you will advise test, manufacturing, and mechanical engineers on electric propulsion best practices. Your expertise will directly influence all aspects of propulsion system design and development, including propellant storage and delivery, magnetic circuit design, cathode design, propulsion system architecture, avionics requirements, thermal management, embedded software design, and in-flight concepts of operation (CONOPs).
Key job responsibilities
The Senior Electric Propulsion Engineer supports the system and design throughout the hardware development lifecycle, from conception, prototyping, design validation & test, through production manufacturing, and flight operations. Key responsibilities will include
- impact and influence the full scope of propulsion system design, development, and production including: propellant storage and delivery; thruster magnetic circuit design; cathode design; overall system architecture trades; Propulsion avionics requirements; thermal management; system integration; and propulsion embedded software
- perform detailed system performance and risk analyses to support design trades, risk assessments, and risk mitigation plans
- act with delegated design authority to approve: production non-conformances; changes in design, test, and systems engineering artifacts; and Concepts of Operations for the Kuiper Propulsion system
- identify and assess technical risks based on data and outcomes in development, production, and flight operations
- lead or support test execution for development, validation, and risk assessments - especially for integrated tests across multiple large vacuum chambers suitable for testing Hall effect thrusters
- define test plans & test requirements to meet development and production test objectives
- define procedures for in-flight responses to novel off-nominal scenarios, and directly support flight operations as neededA day in the life
The Senior Electric Propulsion Engineer will work within multi-disciplinary teams as the go-to source for electric propulsion knowledge. Teams will work on all aspects of propulsion system development, implementation and production and will require you, as propulsion expert, to ensure the key aspects of device operation are being properly considered and tested within constraints. You will aid in test planning, operation and data analysis, co-author test reports and disseminate impactful results.
- Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent, or Bachelor's degree and 5+ years of professional or military experience
- 5+ years of experience with electric propulsion technologies through design or test
- Master's degree or above in Electrical Engineering, Mechanical Engineering, or a related field
- 7+ years of developing electric propulsion technologies through design & test cycles
- Experience with Design of Experiments (DOE)
- Familiarity with electric circuit design
- Experience with finite element analysis for electromagnetic fields and/or fluid flow

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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
- 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
- Bachelor's degree in computer science or equivalent
These jobs might be a good fit