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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

Engineering Manager Senior

AmazonCupertino - On-Site

Posted 2 months ago🏛️ On-SiteSeniorLeadEngineering Manager📍 Cupertino💰 $198,100 - $198,100 / yearly
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Overview

Amazon is hiring a Senior Engineering Manager for their SoC Virtual Platform Modeling team at Annapurna Labs. You'll lead the development of custom ML acceleration SoCs and mentor a growing team. This role requires deep hands-on modeling experience and expertise in AWS and machine learning.

Job Description

Who you are

You have extensive experience in leading engineering teams, particularly in the development of complex systems such as SoCs. Your hands-on modeling experience allows you to dive into technical issues and lead by example, fostering a collaborative environment where innovation thrives. You possess a startup-like mentality, ready to scale teams quickly while maintaining high standards of quality and performance. Your ability to mentor and develop talent is crucial, as you will be responsible for hiring top-notch engineers to join your team. You understand the importance of customer needs and use cases, ensuring that the models your team develops are not only functional but also valuable to AWS's internal teams.

You have a strong background in software development, particularly in building maintainable, well-documented, and testable software. Your experience working closely with architecture, RTL design, and software teams equips you to integrate various components effectively. You are adept at debugging and testing, ensuring that the models you oversee are robust and reliable. Your leadership style emphasizes collaboration, and you thrive in environments where you can drive both vision and execution.

Desirable

Experience in machine learning and cloud computing environments is a plus, as is familiarity with silicon verification processes. You are comfortable navigating the complexities of product and feature development, balancing high-level strategy with hands-on execution. Your ability to communicate effectively with cross-functional teams will be key to your success in this role.

What you'll do

As the Senior Engineering Manager for the ML accelerator modeling team, you will lead the development of SoC models from conception to deployment. This includes overseeing model architecture, integration with other components, and ensuring thorough testing and debugging processes are in place. You will mentor your team, helping them grow their skills while also driving the hiring process to expand your team's capabilities. Your role will involve both strategic oversight and hands-on involvement, as you will be expected to dive into the codebase and tackle technical challenges directly.

You will collaborate closely with architecture, RTL design, and software teams to ensure that the models you develop meet the high standards required for AWS's Trainium Machine Learning servers. Your focus will be on improving the quality, delivery speed, and overall usefulness of the models, aligning them with customer needs and use cases. You will also develop mechanisms and infrastructure that enable your team to produce high-quality, maintainable software that meets the demands of a fast-paced environment.

What we offer

At Amazon, you will be part of a dynamic team that is at the forefront of machine learning technology. We offer competitive compensation packages, including equity and sign-on payments, along with a comprehensive range of medical and financial benefits. You will have the opportunity to work in a collaborative environment that values innovation and encourages professional growth. Join us in shaping the future of machine learning and making a significant impact within AWS.

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