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

Software Engineering Senior

AmazonAustin - On-Site

Posted 2w ago🏛️ On-SiteSeniorSoftware Engineering📍 Austin💰 $168,100 - $227,400 / yearly
Apply Now →

Skills & Technologies

Overview

Amazon is hiring a Senior Software Engineer for their Server Control Firmware team to develop software and firmware for Machine Learning Accelerator servers. You'll work with Embedded Linux, C, and C++ in Austin, Texas.

Job Description

Who you are

You have 5+ years of experience in software engineering, particularly in developing firmware and software for hardware systems. Your expertise in Embedded Linux, C, and C++ allows you to tackle complex technical challenges effectively. You thrive in collaborative environments, working closely with cross-functional teams to deliver innovative solutions that meet customer needs.

You possess a strong understanding of Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software, and you are familiar with the intricacies of Machine Learning technologies. Your experience in hardware/software co-design enables you to contribute meaningfully to product development from concept to manufacturing.

You are detail-oriented and have a passion for continuous improvement, always seeking ways to enhance system performance and reliability. Your ability to engage in new product development and participate in design reviews showcases your proactive approach to engineering challenges.

Desirable

Experience with cloud solutions and familiarity with Amazon Web Services (AWS) would be a plus. You are comfortable navigating complex technical discussions and can articulate your ideas clearly to both technical and non-technical stakeholders.

What you'll do

As a Senior Software Engineer, you will provide software and firmware for Machine Learning Accelerator servers, focusing on BMC and SMC functionalities. You will collaborate with other server and board software teams to ensure seamless integration and performance of accelerator management firmware. Your role will involve supporting the development of mission-mode firmware and automation for qualification and deployment processes.

You will engage in early concept design reviews, contributing your insights to schematic approvals and offsite board discussions. Your work will directly impact the performance and reliability of cutting-edge Machine Learning products that Amazon customers demand.

You will also participate in continuous collaboration with cross-functional teams, ensuring that the software you develop meets the evolving needs of the hardware technologies. Your contributions will help shape the future of cloud solutions and drive innovation within the industry.

What we offer

Amazon provides a competitive salary range of $168,100.00 - $227,400.00 USD annually, along with comprehensive benefits including medical, dental, and vision insurance, 401(k) matching, paid time off, and parental leave. You will have the opportunity to work in a dynamic environment that encourages professional growth and development, with access to cutting-edge technologies and projects that make a real impact in the world.

Join us at Amazon and be part of a team that is at the forefront of hardware/software co-design, where your skills and expertise will contribute to groundbreaking solutions in the Machine Learning space.

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