Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
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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 ...

Amazon

Hardware Engineer Senior

AmazonCupertino - On-Site

Posted 5 months ago🏛️ On-SiteSeniorHardware Engineer📍 Cupertino💰 $143,300 - $143,300 / yearly
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Skills & Technologies

Overview

Amazon is hiring a Senior Hardware Engineer for their ML Acceleration team at Annapurna Labs to design and validate next-generation ML chips and server integration. You'll work with AWS technologies and contribute to innovative cloud solutions. This position requires significant experience in hardware design.

Job Description

Who you are

You have a strong background in hardware design engineering, particularly in the context of machine learning acceleration. With 5+ years of experience, you've been involved in the definition, design, and validation of complex hardware systems, particularly focusing on PCIe and Serdes topics. Your expertise in silicon design and integration within data center environments sets you apart.

You possess a deep understanding of cloud computing technologies and have experience working with AWS services. Your ability to collaborate with cross-functional teams, including software engineers and product managers, allows you to contribute effectively to the development of innovative solutions that meet customer needs.

You are detail-oriented and have a strong analytical mindset, enabling you to troubleshoot and optimize hardware designs. Your passion for technology drives you to stay updated with the latest advancements in hardware engineering and machine learning.

Desirable

Experience with custom chip design and accelerators is a plus. Familiarity with security solutions for cloud services will enhance your contributions to the team.

What you'll do

As a Senior Hardware Engineer at Annapurna Labs, you will play a pivotal role in the design and execution of next-generation ML chips and server integration. You will lead the design and validation processes, ensuring that the hardware meets the high standards required for AWS's innovative cloud solutions. Your work will involve collaborating closely with software teams to create customized platforms that enhance AWS's data center capabilities.

You will be responsible for defining and implementing hardware specifications, conducting validation tests, and optimizing designs for performance and efficiency. Your contributions will directly impact the development of cutting-edge technologies that empower AWS customers to solve complex challenges.

In this role, you will also mentor junior engineers, sharing your knowledge and expertise to foster a collaborative and innovative team environment. You will participate in design reviews and contribute to the overall technical direction of the hardware team, ensuring alignment with AWS's strategic goals.

What we offer

Amazon provides a comprehensive benefits package, including competitive compensation, equity options, and a full range of medical and financial benefits. You will have the opportunity to work in a dynamic environment that encourages innovation and professional growth. Join us at Annapurna Labs and be part of a team that is shaping the future of cloud computing and machine learning acceleration.

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