Quality Assurance Cabling Mgr jobs at Amazon

The Trainium Manufacturing, Quality and Reliability (MQR) Team is part of AWS Annapurna Labs focused on Machine Learning products that designs cutting AI platforms for the world’s largest Cloud Services provider. As a Senior Reliability Engineer you will engage with an experienced cross-disciplinary staff to conceive and design infrastructure technologies. You will work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test in manufacturing. A successful candidate will be responsive, flexible and able to succeed within an open collaborative peer environment. You will:* Be responsible for the test validation of future technologies.
* Drive manufacturing process improvements to address reliability issues and concerns.
* Qualify manufacturing lines and mechanisms for mass production
* You will have a fundamental understanding of Reliability statistics/Reliability tests and/or solid understanding of computer systems to influence design for reliability.
* Lead identifying and validating product/component risks and work with design teams to mitigate them and define the test methodology and test coverage to assure product reliability.
* Deep-dive in technologies aligned with product roadmap.
* Provide technical leadership and mentor engineers.
* Perform Reliability prediction of failure mechanisms, products under development and products in the field.
* Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.Key job responsibilities
* Responsible for defining reliability tests to be implemented during manufacturing
* Drive manufacturing process improvements to address reliability issues and concerns.
* Perform Reliability prediction of failure mechanisms, products under development and products in the field.
* Working with multiple vendors and ODMs to standardize component manufacturing and reliability expectations.

- Bachelor's or Master’s degree in Reliability Engineering, Physics or related field, or equivalent experience
- 7+ years of Reliability Engineering work experience with server compute platforms or on high-tech hardware

The Role:
In this role you will:
· Implement wireless system architecture in silicon from system specification to chip specification to RTL to optimizing timing / power to chip level validation.
· Develop solutions optimizing customer experience (throughput, latency, and availability) while meeting power and cost constraints.
· Drive high quality designs for first-time right silicon solutions, and meeting the power objectives
· Create standalone verification test bench to verify the correctness of your block.
· Work with the verification team and participate in System level verification using test benches constructed using UVM, System C and DPI-C.
· Ensure that the block meets DFT, timing and power targets by working closely with the implementation team.
· Learn about requirements and solutions for systems operating in space
· Drive trade-off analysis to benefit customer experience and optimization of resources (costs, power, spectrum).Export Control Requirement:
Key job responsibilities
- Engage with architects and system engineers to drive hardware micro-architecture.
- Lead design of 1 or more DSP data path modules in System Verilog. Able to interpret reference models in MATLAB.
- Involve in control plane logic design and interfaces to bus fabrics.
- Explore and propose innovative ideas and work towards optimization of the modem.

. Bachelor's degree in Electrical / Communications Engineering or related field, or equivalent experience.
· 7+ years in FPGA digital logic design, preferably in DSP or communication systems.

. Master's or Ph.D degree in Electrical / Communications Engineering.
· 10+ years in FPGA digital design, preferably in communication systems

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
A day in the life
• Work with key stakeholders across multiple organizations to define strategy and requirements to maximize life expectancy of our sites.
• Responsible for scoping and delivering end-to-end solutions that may span multiple teams.
• Collaborate with Network Engineering and software development teams and global process owners to architect and deliver technical solutions.
• Responsible for using technical expertise and delivering cable decommissioning solutions to complex problems.
• Work across organizations to create and drive process improvements and introduce efficiencies in the cable decommissioning space.
• Own project roadmaps and lead implementation efforts.
• Build process flows with stakeholders that seek balance between efficiencies and network safety.
• Manage multiple global team goals and program-related metrics.
• Work closely with partner teams to understand project requirements, define deliverables, develop roadmaps, and drive on-time delivery.
• Anticipate bottlenecks, manage risks, and balance the business needs versus technical constraints.
• Global travel up to 25%.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all preferred 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.Why AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.Work/Life BalanceMentorship and 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.

- 10+ years of program or project management experience
- Experience with cabling infrastructure best practices and methodologies
- Knowledge of networking
- Experience in a data center or other critical environment
- Experience in commercial data center, co-location environments, and/or optical transport/network environments.

Come join us to accelerate deep learning networks on Az1/Az2/Az3 Neural Edge processors and beyond. We deliver solutions to offload Speech, Computer Vision and Generative AI workloads on a range of devices from Blink Smart Home camera to Echo Show line of products.In this role you will lead a team working alongside partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also drive partnerships with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware, ensuring scalability across current and future generations of ML accelerator architectures.
Key job responsibilities· Drive technical vision and strategy for the deep learning compiler stack
·. Manage project planning, execution, and delivery of compiler solutions
· Build and maintain strong partnerships with hardware, software, applied science and product teams
·. Develop and mentor team members, manage performance, and drive career growth
· Drive hiring and team building initiatives
· Architect and oversee development of software stack for deep learning accelerator
· Lead design reviews, API development, and documentation efforts
· Ensure successful delivery of deep learning workloads on heterogeneous device backends

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience with neural network inference offload to GPU, DSP or custom accelerators

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
- Experience building and leading compiler development teams
- Experience managing teams working on application specific accelerators or custom instruction sets

An Associate, Quality Services owns manual execution of documented set of task instructions for a list of components or features of a product, as per the defined productivity and quality targets, agreed SLA and adhere to processesKey job responsibilities
· Gain understanding of the application test procedures and how to use applicable software and tools.
· Execute test instructions and report test results accurately and promptly.
· Report any deviations observed
· Understand any changes in test instructions related to their assigned work
· Follow defined processes to perform assigned workA day in the life
Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes

- Understanding Software testing
- Ability to complete assigned tasks accurately and promptly

- Experience with testing consumer devices

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.As a Senior Manager, ML Infrastructure, you will lead multiple engineering teams to define the vision, strategy, and execution plan for ML infrastructure stack and deliver highly extensible systems that fuel personalized discovery at global scale. You will bring clarity to ambiguity, architecting infrastructure that dramatically improves the agility, usability, and extensibility of our ML solutions. Your technical leadership will shape the future of AI/ML across Prime Video, unlocking generative and predictive models that personalize content for hundreds of millions of viewers worldwide.Your day will involve partnering with scientists and product managers to streamline the model development lifecycle from research to production, building ML infrastructure and establishing MLOps practices that enables rapid experimentation and deployment of AI/ML models. You'll collaborate with cross-functional teams, including product managers, data scientists and applied scientists. With your deep expertise in machine learning infrastructure and and distributed systems, you'll ensure these AI-driven solutions are scalable, reliable, and responsible, while continuously innovating to deliver delightful customer experiences.

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience partnering with product or program management teams
- Hands-on experience with machine learning infrastructure, retrieval/recommendation systems, large-language model and/or generative AI, as well as partnering with applied science teams

- Experience designing and developing large scale, high-traffic applications
- Bachelor's degree in computer science, computer engineering, or related technical field
- Experience with AWS infrastructure and services