דרושים Engineering Manager Internal Tools Agi Autonomy ב-אמזון ב-United States, San Francisco

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 BalanceKey job responsibilities
Building relationships to understand our customers and partners is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.You’ll also act as thought leader in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just be part of an industry movement; you’ll be leading it.A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers, and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you’ll craft highly scalable, flexible, and resilient cloud architectures that address our customers’ business problems. As part of our team, you’ll have the opportunity to continuously learn and innovate daily.

- Bachelor's degree
- Experience in design, implementation, or consulting in applications and infrastructures
- Background in any other following or related to Technology Architect, Consultant, Cloud Architect, Technical Lead, Engineering Lead, Systems Engineer etc.
- Experience and/or deeper understanding in one or more technology areas. Specific knowledge in multiple technology domain areas (e.g., software development/architecture, systems engineering, infrastructure, containers, databases, security, networking, data & analytics, AI/ML, GenAI).
- Have worked on design, development, implementation, or consulting applications / platforms in their prior experience
- Can create proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
- Understands and can articulate common architectural patterns and design principles.
- Able to create technical content that is easily adopted and reusable by others.
- Fluent communication skills.

- Knowledge of AWS services
- Experience architecting, migrating or transforming customer requirements to the cloud
- Professional experience architecting / operating solutions built on AWS or other cloud technology
- Experience migrating or transforming legacy customer solutions and/or applications to the cloud
- One or more AWS certifications, e.g. AWS Solutions Architect Professional
- Able to present to technical and business audiences (training, workshops, publications)
- 4 years’ experience as a Solution Architect or related role.

As a Senior Startup Investor Manager within AWS, you will work with venture capital firms and angel investors to accelerate portfolio company success. You'll work with key investors to help unlock the potential of their portfolio companies on AWS, enabling faster innovation and scaling. Your role focuses on supporting meaningful initiatives between the investment community and AWS, helping startups leverage cloud to achieve breakthrough growth. You'll combine technical understanding of cloud and emerging technologies, such as generative AI, with business acumen to identify opportunities and ensure startups have access to the tools, expertise, and support needed to build world-changing products on AWS infrastructure.Key job responsibilities
• Support and execute initiatives with venture and angel firms, contributing to investor-focused programs that accelerate portfolio company success• Implement solutions that address specific startup and investor needs• Collaborate on cross-functional initiatives involving AWS Startups, Sales, Marketing, and Product teams• Monitor program effectiveness and provide feedback based on results• Collect early-stage market signals from investors and founders to support AWS innovation and help meet the evolving needs of tomorrow's breakthrough companies• Evaluate technical and business potential of startups through understanding of their architecture, technology stack, and market opportunity• Serve as technical advisor to portfolio companies, helping them optimize their cloud architecture and go-to-market approachAbout 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

- Experience managing competing priorities and using metrics to drive business decisions
- 7+ years of experience in technology industry with focus on startups, ideally in combination with technical roles
- Strong understanding of cloud computing architectures, services, and best practices and familiarity with generative AI technologies
- Understanding of technical patterns and architectures for workloads relevant to startups
- Bachelor's degree in technical or technical management field or equivalent experience

- Advanced degree, or MBA
- Experience with analytical tools and ability to dive deep into metrics and reporting
- Experience at startups or venture capital/angel firms
- Experience building and scaling cloud-native applications from the ground up
- Experience with commercial aspects of fast-growing technical businesses
- Ability to understand and evaluate emerging technologiesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We have an immediate opening for a Field Engineer in the San Antonio, TX region.As an Amazon Field Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the ‘go to’ engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:- 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.Must have a valid US driver's license and reliable personal transportation by start date.This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities
* Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity.* Are detail and data oriented?* Have experience solving problems with engineered solutions.* Have experience managing engineering projects and consultants.* Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers).* Are adaptable and inclined to get into the field to see things up close.* Excited about a mix of office and field work.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.If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you!
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.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.

- Bachelor’s Degree in Electrical Engineering or equivalent experience.

- Organized and have the ability to set priorities and meet deadlines and budget and experience using a variety of web based and other software tools for calculation and data processing.- Direct experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers.- Experience as resident engineer or hands-on (in the field) design consultant or owner’s engineer and knowledge of building codes and regulations for your region.- Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents. and ability to carry design concepts through exploration, development, and into deployment/mass production- Basic understanding of both mechanical and/or electrical equipment/design related to data centers (Including but not limited to: uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers [air-cooled and water-cooled], pumps, cooling towers, heat exchangers, CRAHs, fans, air economizers, water treatment, etc...), and EPMS/SCADA/BMS Controls system experience (software and/or hardware)

Key job responsibilities
- Design and implement highly scalable and realistic simulation environments for training agents using reinforcement learning.
- Develop and deploy generative AI approaches to automate the creation of diverse and complex simulation environments and scenarios.
- Analyze, troubleshoot, and profile complex machine learning systems within the simulation context, identifying and resolving performance bottlenecks.

- PhD, or Master's degree or 5+ years of applied research experience
- Experience programming in C++, Python or related language
- Experience with simulation and synthetic data generation
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Machine Learning, or a related field
- 3+ years' experience building machine learning models (includes internships)
- Demonstrated experience in developing and implementing simulation environments or synthetic data generation for reinforcement learning.
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teamsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
You will contribute directly to AI agent development in an applied research role, including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff.

- 3+ years' experience building machine learning models
- Proficiency in Python, Java, C++, or related language
- Experience with deep learning methods and tools, e.g., PyTorch, JAX

- PhD or Master's degree in computer science or related field
- Strong background in scientific research with a proven ability to generate and implement new ideas in machine learning
- Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
- Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- Ability to think big about the arc of development of AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
- Capacity to mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the teamPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
* Design, build, and deploy machine learning models, frameworks, and data pipelines
* Optimize ML training, inference, and evaluation workflows for reliability and performance
* Evaluate and improve ML model performance and metrics
* Develop tools and infrastructure to enhance ML development productivity

* 3+ years experience building and deploying machine learning systems
* Experience with ML frameworks (e.g. PyTorch, TensorFlow) and ML orchestration tools
* Proven track record of improving ML systems, performance, and workflows

* Experience building and optimizing production-grade AI systems, e.g., for self-driving, simulation, or LLM applications
* Willingness to step outside typical role boundaries to get things done — every member of technical staff is expected to write code, design experiments, and interpret results
* Capacity to work autonomously and with a small team to drive research progressPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models.Key job responsibilities* Evaluate performance of the training infrastructure, diagnose problems and address any gaps that exist.
* Develop reliable infrastructure to schedule training and model evaluation jobs across clusters.
* Work closely with researchers to create new techniques, infrastructure, and tooling around emerging research capabilities and evaluating models to meet customer needs.
* Manage project prioritization, deliverables, timelines, and stakeholder communication.
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
* Operate in a dynamic environment to deliver high quality software.

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
Excellent knowledge of theory and practice of MLPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.