דרושים Sr Tipm New Tech Integration Dcc Communities ב-אמזון

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

You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.Work/Life Balance
Mentorship & Career Growth

- 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent

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

About Sponsored Products and BrandsKey job responsibilities
As a Software Development Engineer in Machine Learning, you will:
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
* Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.

- 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

Key job responsibilities
• Diving deep into customer segment needs and goals to develop targeted enablement strategies
• Collaborating with field sales teams to understand and address customer challenges
• Leading consultative teams that drive cloud adoption and innovation across global customers
• Through close partnership with Strategy and Operations teams, designing both customized and standardized solutions that accelerate our customers' cultural and technological transformation.
• Taking ownership of all programmatic activities for customer engagements including planning, reporting and risk mitigation
• Crafting monthly and quarterly business reviews to AWS leadership to surface key business insightsA day in the life
In this role, you'll be instrumental in helping organizations navigate their cloud journey by developing and implementing comprehensive training and enablement solutions that drive meaningful business outcomes.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 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

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience

Key job responsibilities
In this role, you'll lead a team of talented engineers fostering a culture of innovation and continuous improvement. You'll be expected to leverage your deep technical expertise, coupled with a strong understanding of subscription business models, to develop and implement sophisticated retention strategies.As a senior leader in the organization, you'll also play a key role in shaping our overall technical direction, mentoring the next generation of engineering talent, and representing our technical capabilities to executive leadership and external partners.

- 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
- 8+ years of leading the definition and development of multi tier web services 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 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

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.
Key job responsibilities
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems