דרושים Engineering Technician Global Field Operations Americas ב-אמזון ב-United States, Phoenix

Amazon Web Services’ Hardware Engineering team is looking for experienced professionals to help build the world’s premier cloud computing platform. We are looking for Principle Manufacturing Engineers who are capable of operating in a fast paced, ever changing, multi-platform international manufacturing and production environment. Our Principal Manufacturing Engineers work closely with our ODMs, CMs, internal AWS hardware and software development teams, and with upstream component vendors to monitor and improve the incoming hardware quality of AWS products both proactively in the design phase as well as monitoring, reporting and investigating any early-life product failures. This role requires the engineer to be a technical contact and take on full ownership of the manufacturing launch and resolution of process issues. You will be the driver in getting production up and running, understanding root cause of hardware failures and resolving gaps in our suppliers manufacturing processes. Further you will accomplish this both by directly making changes, and coaching other manufacturing engineers to deliver products quickly and at a high quality level.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
• Develop and improve organizational processes to optimize the launch of new products
• Manage quality at CM, ODM and vendors
• Provide On-Site support to new product launches
• Design in quality and manufacturability on new designs of servers and racks
• Root cause customer impacting issues and drive resolution

- Bachelor of Science degree in manufacturing, industrial, mechanical, or electrical engineering or other related technical degree
- Experience in electronics manufacturing inclusive of some process engineering
- Experience in product development
- Experience in lean manufacturing implementation
- Experience conceptualizing, designing, assembling and debugging tools and fixtures
- Experience reducing cycle time and improving labor efficiency
- Experience in supplier component management

- Diverse experience across multiple roles within the electronics manufacturing and product development environment
- Experience with SMT and PCBA
- Six Sigma black belt
- Experience with Datacenter Operations
- Experience in supply chain for electronics manufacturing

Amazon is looking for a talented Postdoctoral Scientist to join its AI Research on foundation models, large-scale representation learning, and distributed learning methods and systems for a one-year, full-time research position. At Amazon, you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area and work with other acclaimed engineers and world famous scientists.Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:
* Hardware-informed efficient model architecture, training objective and curriculum design
* Distributed training, accelerated optimization methods
* Continual learning, multi-task/meta learning
* Reasoning, interactive learning, reinforcement learning
* Robustness, privacy, model watermarking
* Model compression, distillation, pruning, sparsification, quantizationIn this role, you will have the opportunity to:
- Leverage machine learning models and advanced statistical techniques to extract valuable insights from historical data and comparable item information.
- Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.
Key job responsibilities
In this role you will:• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

* PhD in a relevant field, received within 2 years of starting the program.* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Operations Research, Economics, or other related technical fields.* Experience in data science and quantitative research.* Proficiency in technologies relevant to the sub-field.

* Ability to independently deliver results in a fast-paced environment.* Publications at top-tier, peer-reviewed conferences and/or journals.* Exceptional verbal and written communication skills.* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies.Required application materials:* CV, which lists all peer-reviewed publications and conferences.* Research statement that outlines your research achievements and future research interests.* A journal article or book chapter that demonstrates your domain expertise.

As a ML engineer with the AGI team, you will be responsible for leading the development of novel algorithms and techniques to advance the state of Large Language Model (LLM) training. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. You will collaborate closely with the Applied Scientists on LLM fine tuning experiments and prototypes to build training workflows.Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.A day in the life- Work closely with Applied scientists to process data, scale machine learning models while optimizing
- Will work in an Agile/Scrum environment to deliver high quality software against tight schedules.

- 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’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.You will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure.Key job responsibilities
- 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%)A day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.Colo Regional Engineers:
- Possess strong engineering judgement and are able to provide recommendations despite uncertainty.
- Are detail and data oriented.
- Manage engineering projects and consultants.
- Build trust and relationships with different stakeholders.
- Be inclined to get into the field to see things up close.
Amazon 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.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.

- Engineering degree in Mechanical Engineering or related discipline
- 1+ years 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
- 2+ years cumulative data center design experience
- PE or EIT
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.You will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure.Key job responsibilities
- Perform design and equipment submittal review for new Data Centers in your region.
- Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
- Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
- Own the design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency.
- Work on concurrent projects, sometimes in multiple geographical regions.- Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.A day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.Colo Regional Engineers:
- Possess strong engineering judgement and are able to provide recommendations despite uncertainty.
- Are detail and data oriented.
- Manage engineering projects and consultants.
- Build trust and relationships with different stakeholders.
- Be inclined to get into the field to see things up close.About the team
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.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.

- Engineering degree in Electrical, Mechanical or related discipline, or 6 years commensurate industry or military experience in lieu of degree
- Cumulative 3+ 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
• 8+ years cumulative data center design experience
• PE or EIT
• Prior project management experience; PMP, PMI

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.You will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure.Key job responsibilities
- 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%)A day in the life
Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally.Colo Regional Engineers:
- Possess strong engineering judgement and are able to provide recommendations despite uncertainty.
- Are detail and data oriented.
- Manage engineering projects and consultants.
- Build trust and relationships with different stakeholders.
- Be inclined to get into the field to see things up close.
Amazon 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.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.

- Engineering degree in Mechanical Engineering or related discipline
- 3+ years 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
- 8+ years cumulative data center design experience
- PE or EIT
- Prior project management experience; PMP, PMI

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.
· Walk job sites in uneven terrain
· Work in extreme climates
· Work at heights and from ladders
· Regularly lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
· Bend or twist the body into unusual positions while working
· Push or pull heavy objects into position
· Work in noisy environments
Ability to work non-standard hours including nights and weekends.This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance.Key job responsibilities
· Operate and maintain mechanical and electrical, mechanical, emergency generator, and fire/life safety equipment within the data center
· Troubleshoot of facility and rack-level events within internal SLAs
· Perform limited maintenance tasks to including filter changes, HVAC PMs, rack power installs, rack PDU, and rack ATS replacements
· Provide support to Data Center Operations technicians
· Perform root cause analysis of equipment failures
· Ensure all safety procedures are adhered to while performing work
· Work a 12 hour shift (rotating 3 and 4 day work weeks days or nights)
· Take daily operational readings of all mechanical and electrical equipment through routine rounds/log taking (temperatures, voltages, currents, etc.)
· Utilize internal CMMS to manage building workflows and spare part inventory
· Supervise contractors who perform servicing or preventive maintenance
· Respond to off hour emergency calls per on call rotation for any one of the region’s sites
· Fully comply with all physical security procedures and policies
· Drive innovation while reducing operational costs in the facilities
· Manipulate small wires and objects
A day in the life
After an initial training period, you will support data center infrastructure operations on a shift schedule supporting our 24/7 staffing model. You will get information from your peer technicians who are ending shift, review the maintenance schedule for any tasks due that day, and then perform routine physical checks of our critical systems. After these rounds are complete, you and your shift partner will perform preventative maintenance, troubleshoot technical issues, take repair actions, and perform facility maintenance. You will also author technical procedures, work orders, and work on advanced qualifications and projects as your career progresses at AWS!
Amazon 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.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.

- 1+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience
- High school or equivalent diploma
- Current, active US Government Security Clearance of Top Secret or above

- 2+ years of data center engineering experience