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Home›Jobs›Amazon›Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Systems Development Eng (AWS Generative AI & ML Servers), AWS Hardware Engineering Accelerators

Amazon • Seattle, Washington, USA

Posted 1 month ago🏛️ On-SiteMid-LevelHardware engineer📍 Seattle
Apply Now →

Skills & Technologies

AWS

Overview

Amazon is hiring a Hardware Engineer to build the backbone of Generative AI cloud at AWS. You'll work on designing and delivering cloud offerings for AI training and inference. This position requires knowledge of the full technical stack and experience with AWS.

Job Description

Who you are

You have a strong background in hardware engineering, with a focus on designing server architectures that support high-performance AI and machine learning workloads. Your experience includes working with cloud technologies, particularly AWS, and you are familiar with the intricacies of AI model training and inference. You are an innovative thinker who enjoys solving complex technology problems and are eager to contribute to the development of cutting-edge cloud services. You have a deep understanding of the full technical stack, from bare-metal server hardware to userland software, and you are curious about how systems and software decisions impact user experiences. You are committed to maintaining high standards in your work and are skilled at developing tools and solutions to diagnose and resolve issues effectively.

Desirable

Experience with generative AI technologies and large language models is a plus. Familiarity with high-performance computing (HPC) environments and a passion for continuous improvement in cloud services will set you apart.

What you'll do

In this role, you will be responsible for designing and delivering AWS cloud offerings that enable high performance and scalability for AI/ML workloads. You will collaborate with cross-functional teams to innovate and improve AWS services, focusing on delivering continuous price performance enhancements for AI model training. Your work will directly impact the success of AWS and its millions of customers, as you contribute to the development of industry-leading server designs that prioritize operational excellence and frugality. You will engage in hands-on engineering tasks, ensuring that the solutions you develop meet the highest standards of quality and performance. You will also have the opportunity to stay updated on the latest AWS services and instance types, applying your knowledge to solve new and interesting business challenges.

What we offer

Amazon provides a comprehensive benefits package that includes competitive compensation, equity options, and a full range of medical and financial benefits. You will be part of a dynamic team that values innovation and collaboration, working in an environment that encourages professional growth and development. We believe in the importance of work-life balance and offer flexible working arrangements to support our employees' needs. Join us at Amazon and be a part of shaping the future of cloud technology for AI and machine learning.

Interested in this role?

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