Software Dev Engineer Ii Alexa Routines jobs at Amazon in United States, Irvine

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Key job responsibilitiesAs an Electrical Test Engineer on our team, you will be responsible for owning end to end factory PCBA and system-level test strategy for new hardware devices. You will be a key member of the development team and will be the main interface with the internal Operations team as well as our Contract Manufacturers (CM). In this role, you will:* Define test strategy, implement and optimize test setup/processes at the CM including design and qualification of test fixtures, test equipment, and test software
* Investigate and introduce new manufacturing test technology and methodology to enhance production efficiency
* Review datasheets, schematics, block diagrams and provide feedback on best design practices
* Drive test requirements, specifications, and limits with the hardware development team
* Work concurrently with the design engineers to provide design for testability (DFT) feedback throughout the design process
* Investigate and troubleshoot yield issues during prototype and production builds
* Review hardware designs to define test coverage to ensure products are built free of manufacturing defects
* Deploy and provide training
* Develop test station procedures, preventative maintenance plans, and troubleshooting guides to support production

- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field
- 5+ years of experience in manufacturing/operations of electronic devices
- Interface and guide ICT/FCT development with a contract manufacturer experience
- Experience in schematic capture and HDI board layout using Cadence, or equivalent
- Analog design expertise, including experience with switching power supplies, LED drive circuitry, and measurement of analog signals
- Circuit design experience with microcontrollers, firmware, and programmable logic
- Interested and able to travel internationally

- MS or PhD in Electrical, Mechanical, Manufacturing or Computer Engineering with 3+ years’ industry experience
- Experience in designing or specifying electrical test interfaces for functionally testing electrical subassemblies
- Experience in circuit-level debug to the component level
- Excellent verbal and written communication skills
- Demonstrated understanding of quality metrics, process characterization and mapping, Product Quality / Reliability / Improvement techniques, LEAN Manufacturing, DFM/DFT, and Continuous Process Improvement
- Understand Design for Testability, Design for Manufacturability
- Experience in one of these languages: C/C++, Java or Python
- Proven track record of releasing manufacturing test for products from concept through production
- Experience working with International CM Partners
- Mechanical CAD skills are a Plus

You will be a technical leader who will deliver features and capabilities that app developers will use to build world class experiences for Amazon customers. You will work with teams across every layer of software as well as with app developers to build the right solutions.Key job responsibilitiesA day in the life
You will be part of an agile development team following innovative best practices in software development where you’ll write code, use Agentic AI, work on technical designs and architecture. We are building the tools to measure and solve app performance problems, enabling you to interact with product teams to gather requirements, to provide technical solutions that are required for next generation products. One of the important aspects of the role is to develop the best and build a truly unique Agentic AI based performance tooling product to deliver the best app performance and development experience.

- 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

Key job responsibilities
- Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer product experiences.A day in the life

- 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
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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

You will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer product experiences. You must be responsive, flexible and able to succeed within an open collaborative peer environment. You will participate in designing, prototyping, and building solutions to hard problems in the Android and Amazon ecosystem.
Key job responsibilities
- Influence strategy and roadmap through your technical and non-technical insightsA day in the life
You will be a part of an agile development team following innovative best practices in software development where you'll lead a team on technical designs and architecture. To build our app based experiences you will interact with product teams to gather requirements, support feasibility analysis and to provide technical solutions that are required in defining our next generation products. One of the important aspects of the role is to develop the best, and you’ll have opportunities to build a team and mentor others by sharing your knowledge across multiple teams as we build a truly unique UI app development experience.

- 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

In this role, you will design, develop, test, and define the software architecture and influence the solution and business strategy to create world class supply chain solutions. You will work with business leaders and product managers to shape these products and to develop and deliver the associated software services, infrastructure and tools to enable rapid growth of this business. This requires thorough knowledge of what it takes to develop scalable, extensible technology. The systems you will oversee include high transaction throughput backend services, and integrations with Amazon’s core supply chain platform. This presents a significant intellectual, technical, operational and organizational challenge.

- 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

You will design, build, and integrate scalable ad systems that delight end-users, publishers, and advertisers alike. You will join a mission to push the boundaries of technology to innovate the best-in-class customer experiences, by using state-of-art and GenAI technologies and leading edge tools and frameworks via rapid iterations.Key job responsibilities
- Defining innovative solutions that captivate Alexa+ users and propel Amazon Ads forward.
- Crafting prototypes that bring your ideas to life, proving their worth in real-world scenarios.
- Extracting wisdom from vast oceans of data and experiments, turning raw insights into actionable strategies.You are a navigator of multiple frontiers: as you crisscross teams and organizations within Amazon, you'll gain an unparalleled panorama of our future growth engine powered by Alexa+. For the inquisitive soul (required), this role serves as a passport to explore:- Super low-latency computing – shaving milliseconds off critical processes.
- Large-Scale, Intricately Linked Data – wrangling and distilling massive datasets into valuable insights.
- GenAI Catalyst – advancing AIexa+ technology that learns and adapts to deliver hyper-relevant ads user experience.A day in the life
A day in the life

- 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

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.
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.

- 5+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)