דרושים Msp-cx Qa Mechantronics Sustainable Packaging ב-אמזון ב-United States, Bellevue

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
You will be responsible for the following:
- Influence AWS’ design and specification requirements to meet our business needs for AWS colocation products.
- Investigate and document root-cause failure analysis associated with infrastructure and equipment failures.
- Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes.
- Travel to Data Center sites as required - International & Domestic (up to 50%)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.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.Work/Life Balance

- Engineering degree in Electrical, Mechanical or related discipline
- 5+ years of focused experience in Data Center or Carrier-class Telecommunications design, engineering, and/or operations and maintenance (O&M) of data center critical environment infrastructure.

• Master’s degree in engineering
• 10+ years cumulative data center design experience
• PE or EIT
• Prior project management experience; PMP, PMI

As a Sustaining Electrical Engineer at eero, you will work with the Hardware Engineering and Manufacturing Operations teams to prepare for, evaluate, and implement electrical design and/or manufacturing process optimizations for products that have reached the mass production stage of their lifecycle.Key job responsibilities
In this role, you will:
• Research, select, and evaluate potential alternate sources for electronic components across all eero devices
• Maintain and update CAD library and PLM system data for electronic components
• Assess technical feasibility and risk of potential post-ramp design and manufacturing process changes
• Implement board schematic and PCB layout changes required for post-ramp qualification (PRQ) efforts
• Validate whether devices continue to meet performance requirements after proposed PRQ changes
• Review and manage technical input to deviations and change orders for PRQs in eero’s PLM system
• Assist compliance engineers with activities related to PRQs or expansion into new regions
• Support triage and analysis of field failures from product launch until end-of-life
• Collaborate with design engineers to improve the reliability and manufacturability of future designs

- Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field
- 5+ years of experience in NPI and/or sustaining engineering for electronic products
- Knowledge of component selection, PLM system use, and PRQ process best practices for electronic products
- Strong understanding of PCB and PCBA manufacturing and assembly processes used in consumer electronics
- Familiarity with schematic capture and PCB layout software tools (preferably Cadence tools)
- Proficiency in the use of electronic test equipment such as oscilloscopes, logic analyzers and power supplies, as well as surface-mount soldering and rework equipment
- Strong written and verbal communication skills

- Understanding of the system integration challenges posed by wireless technologies such as wifi, Bluetooth, and IEEE 802.15.4
- Knowledge of software tools for the automation of hardware validation tests
- Familiarity with design of experiments and design for manufacturability
- Experience with 3+ full development cycles of high-volume consumer electronics products (including a successful launch into mass production) in a contract manufacturing environment

Key job responsibilities
A successful candidate in this role may perform some or all of the following responsibilities:- Develop advanced AI models by extracting predictive features from multiple data sources (product/packaging images, product descriptions, sensor data, geospatial data) to forecast package-related damages and optimize packaging decisions based on customer preference prediction- Leverage generative AI technologies to develop scalable solutions for automated product compatibility and safety assessments (e.g., evaluating product shipping compatibility, safety requirements, and packaging configurations)
- Develop and implement computer vision solutions to automate packaging workflows and detect product/packaging defects in real-time operations

- PhD, or Master's degree and 5+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- 5+ years of industry or academic research experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language
- Experience with building GenAI application in a production environment

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with building computer vision application in a production evenrionment

Key job responsibilities
Design, implement, and support metrics for the programReview information from multiple sources to confirm data integrity
Provide clear and timely reporting of key performance metrics across internal & external stakeholders

- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- 50% of travel is required for this role
- Lift up to 49 pounds and frequently push, pull, squat, bend, and reach. Participate in team-lifts for items over 50lbs.
- Stand/walk for up to 12 hours
- Work in an environment where the noise level varies and can be loud
- Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)
- Continuously climb and descend stairs

- Knowledge of AutoCAD, VBA, and SQL at the intermediate level
- Experience working with and managing third party vendors
- Experience with Six Sigma, lean manufacturing

Key job responsibilities

- 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 modern language such as Java, C++, or C# including object-oriented design
- Experience building complex software systems that have been successfully delivered to customers

- Bachelor's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Key job responsibilities
• You will manage the development of project plans and technical solutions which may not be defined, including problem statement and resource requirements definition.
• You will influence decisions on deployment and machine performance execution strategy to senior level leadership.
• You will own the tactical planning on the installation of complex cross-functional projects with considerable impact across the functions of schedule, scope, cost and product performance. Projects may span organizations or geographies in support of a business objective, and includes the management of contractors and vendors.
• You will own the strategy of your program/product for annual planning of resources and budget, defining deployment plans of record and continuous improvement goals. This includes setting standards, driving mechanisms and delivering efficiencies across both deployment execution and machine performance, based on your own observations and the voice of the customer.
• You will own communication of program execution and performance both verbally and in writing, consolidating inputs across multiple internal cross-functional business teams.
• This is a travel-based role and you will be expected to travel to meet the requirements of your projects across North America, upwards of 75% or more.A day in the life
In this role you will be focused on two primary lines of effort. The first is deployment project management, and the second is product ramp-up support. On a daily basis you will be expected to collaborate with hardware engineering, technical program and product managers, and internal customers including site maintenance and operations teams, to ensure the product you are deploying, is both ready for deployment and capable of achieving the business requirements. You will travel to your project sites, collaborate both virtually and in person, to ensure all business stakeholders are aligned on program status.

• BA/BS degree in Engineering or related STEM field. BS/BA in Business or Supply Chain with 2+ years of additional technical experience.
• 2+ years of experience of infrastructure projects of new site or existing site deployment and ramp from initiation to closure.
• 1+ years of program leadership experience.
• Experience managing project portfolios, budgets and decentralized resources to execute project goals.
• Experience working in a global environment while prioritizing and managing multiple responsibilities.
• Ability to travel frequently both within country up to 75% and occasional internationally (~5%).
• Experience with Microsoft Office products and applications
• Experience interpreting mechanical, electrical diagrams and controls logic.
• Experience with procurement of equipment.
• Experience in Robotics, Automation, distribution, manufacturing, logistics, or other warehouse environments.
• Bachelor’s Degree from an accredited university.
• Experience leading cross-functional teams/projects.
• Knowledge of Project management tools ( PPM, Clarity, MPP or Jira)

• MBA/MS degree in Engineering or related STEM field. MS/MBA in Business or Supply Chain with 5+ years of additional technical experience.
• 5+ years of experience with technical project portfolio management.
• PMP Certification
• Strong oral and written communication skills in English.
• Understanding of Robotic, Automation, Construction, IT, MHE infrastructure and service concepts.
• Site deployment and ramp experience packaging and robotics automation in retail, distribution, logistics or similar.
• Large scale Technical project implementation experience.
• Experience working with Global (distributed, virtual) teams preferred.
• Excited about working in a diverse group and contributing to an inclusive culture.
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership.

Key job responsibilities
A successful candidate in this role may perform some or all of the following responsibilities:- Develop advanced AI models by extracting predictive features from multiple data sources (product/packaging images, product descriptions, sensor data, geospatial data) to forecast package-related damages and optimize packaging decisions based on customer preference prediction- Leverage generative AI technologies to develop scalable solutions for automated product compatibility and safety assessments (e.g., evaluating product shipping compatibility, safety requirements, and packaging configurations)
- Develop and implement computer vision solutions to automate packaging workflows and detect product/packaging defects in real-time operations
A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience implementing algorithms using both toolkits and self-developed code
- Experience applying theoretical models in an applied environment