דרושים Senior Applied Scientist Generative Ai Innovation Center ב-אמזון ב-United States, Austin

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
The successful candidate will be operationally responsible for several of Amazon.com's Data Centers during the day shift. Some high-level responsibilities include:
- Prioritize and assign trouble tickets to data center technicians and operators
- Routinely review ticket queue for large events and address accordingly
- Coordinate change management resources
- Guide, train and educate data staff on the best practices related to all service owner issues
- Manage and deliver mid-size projects
- Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs- Provide weekly report to the data center manager
- Maintain the on-call schedule coordinating absence and vacations
- Recruit and train data technicians to ensure appropriate staffing levels
- Host weekly staff meetings
- Write and deliver performance reviews for staffA day in the life
*Why AWS*
*Diverse Experiences*
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.*Work/Life Balance*
*Inclusive Team Culture*
*Mentorship 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.
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.

- 2+ years of engineering team management experience
- 4+ years of professional or military experience, or Bachelor's degree in computer science or equivalent
- Bachelor's degree
- 3+ years of networking and troubleshooting experience
- Experience with general troubleshooting/debugging of hardware, or experience in development in the last 3 years
- Experience with system management tools and client/server environments

As a Principal Partner Innovation Lead, you will drive transformative partnerships that position AWS at the forefront of the generative AI revolution. You will architect and execute a comprehensive partner innovation strategy, focusing on deep data partnerships with growing GenAI companies, model providers, and emerging technology leaders and next-generation AI startups.This role requires you to think beyond traditional consulting engagements and build the future of AI-powered enterprise solutions. You will be creating headline-worthy partnerships that fundamentally change how enterprises leverage their data with AWS services.Key job responsibilities
- Research & Development Leadership: Drive applied research initiatives that identify emerging AI trends, evaluate new model architectures, and develop forward-looking solutions that position AWS 2-3 years ahead of market demands- Market Intelligence & Trend Analysis: Continuously monitor the GenAI landscape for consolidation trends, emerging technologies, and partnership opportunities, particularly as the market evolves toward potential duopoly scenarios
Diverse Experiences
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.Why AWS
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.AWS Global Services

- 10+ years of leading complex, large-scale, IT, technical or engineering programs experience
- 10+ years of building profitable partner ecosystems experience
- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
- Experience in venture capital, startup ecosystem, or technology scouting roles

- Deep understanding of enterprise data architectures and how GenAI solutions integrate with existing data infrastructure
- Experience with forward deployment engineering or embedded technical partnership models

We are seeking a talented and motivated Manufacturing Engineering Lead with a proven track record of implementing best in class processes within a complex manufacturing environment. This role will report to the Director of Engineering, and is an integral member of the Machine Learning Acceleration server development team. You will work closely with the hardware design and test engineers to implement, test and improve New Product assembly processes on the most advanced machine learning servers.
You will participate in the early phase of manufacturing line development for our next generation servers and racks to improve our manufacturing flows informing system design, manufacturing, and fleet operations.
You will manage early lifecycle changes, identify initial product quality improvements, and drive to technical root cause in supplier quality activities. The candidate will have experience in design or manufacturing and is capable of making wide-ranging business decisions on behalf of the organization.
Key job responsibilities
* Design and build an assembly line for machine learning acceleration servers.
* Test individual server components and multi-rack systems.
* Propose design changes that will enhance product manufacturability and testability.
* Guide best practices on manufacturing tolerances..
* Review external production processes, identify risk and inform improvements..
* Identify supplier quality problems; inform containment and root cause activities.
* Hire and mentor team members including design engineers and technicians.
* Evaluate production, supplier and field failures for root cause analysis and resolution.
* Travel to manufacturing and ODM development sites.A day in the life
Diverse ExperiencesAWS 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.About AWSMentorship & 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.

for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Key job responsibilities
- Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers.- Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment.
- Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing.A day in the lifeDiverse 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.About AWSWork/Life Balance
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.

- 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
- Experience writing software for DDR/HBM controllers and PHYs

Key job responsibilities
About AWSDiverse ExperiencesAWS 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 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.Work/Life Balance

- Proven experience in Go-to-Market, Sales, or Consulting- Strong expertise in Contact Center technology domain- Bachelor’s Degree- Fluent in German and English (C2 proficiency)

The Role
The Senior Post Silicon Lab Engineer will own the lab and related lab requirements for the Kuiper MODEM Post Silicon team. In this role you will be responsible for designing, building and maintaining the lab, ensure safety standards are met, support Bring-up and validation board reworks, manage inventory of secure SOC, Boards and lab equipment, work with vendors to ensure instrument calibration and repair. In addition, you will support setting up test benches and own validation execution.
Key Job Responsibilities
• Bring-Up and support debug of validation boards arriving from Assembly house. Own the secure storage, distribution and inventory management of these boards.
• Work with Engineers and vendors, to identify and purchase required bench top instruments. Ensure periodic calibration and repairs on the same.
• Drive future expansion needs. Work closely with Engineers across functions, identify existing gaps, future requirements and design solutions appropriately.
• Support Post Silicon Engineers with Board modifications, Board debugs, Design of Experiment and remote debugs.
• Ensure the lab meets safety protocols and compliance. Enforce trainings to reduce lab accidents. Document and report accidents in the Post Silicon lab.
• Assist with Test Bench setups, Test execution and data analysis.
• Will be required to lift and move equipment up to 50 poundsExport Control Requirement:

- Bachelor's degree or above in a technical or engineering related field, such as Electrical Engineering, Computer Science, etc.
- • 7+ years experience in hardware lab management
- • 7+ years experience with building boards, debugging hardware issues and supporting board modifications
- • Demonstrated leadership, team management and decision-making abilities.
- • Experience using Windows and Linux computers.
- • Experience Setting up and designing using a 3D Printer.

- • Experience Soldering 01002 components.
- • Experience Setting up and managing Post Silicon lab from scratch.
- • Experience with automated test equipment

• We offer employment year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules.
• We offer excellent mentoring. Our full-time data scientists, applied scientists and business intelligence engineers are willing and able to mentor exceptional student data scientists, applied scientists and BIEs.
• Jr. Data Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” data science and analytics experience.
Key job responsibilities
- Create pipelines for reports, analyze massive-scale data, leverage knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to analyze and translate the data into meaningful insights; make sense of the results and be able to explain what it all means to key stakeholders like scientists, product managers, and engineers.

- Currently enrolled in an accredited college or university Master's program.
- Majoring in Data Science, Computer Science, or a related STEM discipline.
- Graduating in June 2027 and beyond.
- Ability to work year-round: part-time during the school year and full-time during the summer.
- This role is not offered as remote or hybrid and working hours must be conducted in our corporate office in Austin, TX.
- Living within commutable distance to Austin, TX.

• Previous technical internship(s).
• Effectively articulate technical challenges and solutions.
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly.