Cleared Dc Bim Specialist Fleet Remediation Engineering jobs at Amazon

You will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with field teams, and customers. By driving the adoption of Generative AI technologies, you will play a pivotal role in propelling AWS's revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects.
Key job responsibilities
Strategic customer engagement:
Adoption program development:
- As an adoption expert, create and maintain best practices documentation, implementation guides, and training materials to be applied across multiple service domains.
- Track and analyze adoption metrics to measure effectiveness and identify areas for improvement.
- Develop governance frameworks for sustainable adoption at scale across domains.
Customer success management:
Product feedback loop:
- Collect and communicate customer feedback, insights, and requirements to Go-To-Market teams.Diverse ExperiencesAmazon 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 GrowthWe’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.

- Bachelor’s degree in Computer Science, Engineering, Math, or a related field or 5 years of product management or go-to-market, or sales experience.
- 5+ years of GenerativeAI / AI / ML.
- 10+ years in the technology industry focused on customer success or in go-to-market roles, or management consulting serving high-tech clients on go-to-market topics
- Experience engaging and influencing senior customer executives, technologists and/or partners to solve complex business problems with advanced technologies
- Ability to travel up to 15% as needed

- Experience in AWS cloud computing or SaaS, ideal if experience is in GenAI/AI.
- MBA or advanced degree in AI/ML.
- Effective at communicating complex technological solutions to diverse audiences and building strong internal and external brand presence.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 Kuiper team is looking for a Supplier Quality Engineer (mechanical/electro-mechanical) who will define requirements and deploy processes to deliver aerospace quality at unprecedented scale. The ideal candidate is a systems thinker with excellent analytical abilities, strong technical skills, effective written and verbal communication, and most importantly, a passion for developing suppliers to produce high-quality, mission-critical hardware in volume production.Key job responsibilities
- Own and lead Kuiper supplier quality management activities including requirements definition, part qualification, production process validation, receiving/source inspection, CAPA, metrics reporting, and continuous improvement- Partner cross-functionally to define Kuiper Quality System in compliance with AS9100 & IS09001
- Scale supplier processes and quality systems to reduce defects with increasing volumes
- Be a subject matter expert in the disciplines of vendor process management and quality control
- Lead external audit teams
- Influence supplier selections and engineering design decisions to factor sustainable quality
- Influence supplier investments to reduce risk and improve quality of components
- Establish and monitor supplier mechanisms for verifying production processes remain in control
- Analyze and improve supplier quality metrics
- Represent Kuiper Supplier Quality in cross-functional initiatives
- Travel as needed to accomplish program objectives
A day in the life
- Participates in product development teams as owner of supplier quality system requirements- Builds and enforces implementation of the Kuiper Quality System
- Serves as the face of Kuiper Quality for suppliers communicating expectations, reviewing methods and resolving issues

- Experience in developing functional specifications, design verification plans and functional test procedures
- Experience developing and executing PPAP
- Experience conducting supplier quality system and process audits
- Experience driving supplier RCCA

Medium and low voltage power systems Generators
UPS
HVAC (Air Handlers / Exhaust Fans / VFD)
Chilled Water Systems
Building Management systems (BMS)
Electrical Power Monitoring Systems (EPMS)
Testing and balancing
Pumps and Hydronic systemsYou’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
As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects’ successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements.You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors’ activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance.A day in the life

• 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems
• Bachelor’s degree in mechanical/electrical engineering or 5 years of relevant discipline work experience
• High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained.
• Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
• Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.

• Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred
• Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams
• Advance knowledge of mechanical, electrical, and controls systems for critical infrastructures
• Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.)
• Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals

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.In this role, you will drive mechanical engineering services design, construction, and implementation of enterprise data centres that meet global quality and performance standards. Working directly with Design Engineering Stakeholders, Construction, Operations, and Commissioning teams within the APAC region.Key job responsibilities- Evaluate cooling systems using in-depth CFD knowledge to make data-driven decisions aligned with our guidelines
- Drive successful project delivery while maintaining the highest performance standards
- Utilize innovation to reduce PUE, water consumption, and CAPEX while increasing efficiency
- Develop mechanical documentation including but not limited to narratives, drawings, specifications, etc.
- Drive process improvements across the organization.
- Perform building energy use calculations for determining capacity and type of cooling system required
- Perform CFD models on innovative and next generation designs
- Provide reports to senior leadership on the results of those models
- Perform water efficiency use calculations to determine quantity of water needed on site
- Develop special projects and assist senior engineers with detailed calculations for special projects
About the team
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

- 5 years experience with Sigma Six or HELYX CFD modeling software
- Bachelor’s degree or higher in mechanical engineering
- Thorough understanding and use of principals, theories and concepts in mechanical engineering
- 8 years experience in designing HVAC systems

- Engineer in training or Chartered Engineer
- Understanding of building controls documentation
- Programming skills in Python and AI tools
- Deep understanding of data center mechanical systems and cooling control schemes.
- Knowledge of industry standards such as ASHRAE, NFPA, AIRAH, etc.

Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
About the team
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.
Why AWS?Inclusive Team CultureMentorship & 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

- 1+ years of computer hardware experience, including troubleshooting and repairing experience
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment

- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data

Kuiper Productivity Engineering (KPE) is seeking an experienced IT Application Engineer who will serve as the Subject Matter Expert (SME) for our Jama Requirements Management platform. This role will be responsible for the administration, optimization, and strategic development of our Jama implementation while supporting enterprise-wide requirements management processes.Export Control Requirements: Due to the need to access certain federal controlled information, you must be a U.S. citizen for consideration.Key job responsibilities
- Lead the technical administration and architecture of Jama Requirements Management platform- Design and implement integration solutions between Jama and other enterprise systems
- Develop and maintain best practices for requirements management processes
- Mentor junior engineers and provide technical leadership for Jama-related initiativesA day in the life
In this role, you will function as the primary administrator and SME for Kuiper's Jama service. You will operate and support the service, as well as developing automation for upgrades/patching/testing, and enhance observability of the system. You will work with stakeholders and senior engineers to design and develop custom solutions and integrations between tools and other services in a secure manner.

- 3+ years of hands-on experience with Jama Requirements Management platform administration
- Strong understanding of requirements management methodologies and best practices

You can learn more about NeuronKey job responsibilities
In this role, you will:
* would with state of the art LLMs, Open source and internal LLM families, large scale performance and benchmark evaluations etc.,* develop and performance tune a wide variety of LLM model families, including 500B+ large language models like the Llama family, DeepSeek and beyond.* work side by side with performance, compiler and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia.* build infrastructure to systematically analyze and onboard multiple models with diverse architecture.* collaborate with performance team to enable and evaluate optimizations such as fusion, sharding, tiling, and scheduling etc.,* conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.* work directly with customers to enable and optimize their ML models on AWS accelerators* collaborate across teams to develop innovative optimization techniques* Build online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.
A day in the life
You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you’re always working on the most important initiative.

- 5+ years of non-internship professional software development experience
- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.
- Experience programming with at least one software programming language

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Masters degree in computer science or equivalent