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

AWS is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
$136,100 - $235,200
Backend
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS · Cloud

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

AWS Hardware Engineering team is seeking a Systems Development Engineer to join their Generative AI & ML Servers team. This role focuses on building and optimizing the backbone of AWS's Generative AI cloud infrastructure, specifically working on high-performance computing solutions for AI model training and inference at scale.

The position involves designing and implementing server solutions that power AWS's innovative web services, with a particular emphasis on systems that support multi-billion variable LLMs (Large Language Models). You'll be working at the intersection of hardware and software, managing everything from bare metal server hardware to user-level applications.

As a Systems Development Engineer, you'll collaborate with cross-functional teams to deliver next-generation AWS platforms, directly impacting the company's cloud computing capabilities. The role requires strong technical expertise in system architecture, debugging complex systems, and implementing solutions that scale across AWS's global infrastructure.

Key responsibilities include architecting solutions for AI/ML workloads, optimizing system performance, and ensuring reliability at cloud scale. You'll work with teams across AWS Hardware Engineering, EC2, and other AWS services, contributing to the full lifecycle of server development from conception through operations.

The ideal candidate brings strong programming skills, deep systems knowledge, and experience with Linux/Unix environments. You should be passionate about cloud computing, have excellent problem-solving abilities, and be able to work effectively in a fast-paced environment.

This role offers the opportunity to work on cutting-edge technology in cloud computing and AI infrastructure, with direct impact on AWS's millions of customers. You'll be part of a team that's shaping the future of cloud computing, particularly in the rapidly growing field of generative AI and machine learning infrastructure.

The position includes competitive compensation, comprehensive benefits, and the chance to work with industry-leading technologies while solving complex technical challenges at global scale. Join AWS to help build the future of cloud computing and be part of a team that's revolutionizing how businesses and developers leverage AI and ML capabilities in the cloud.

Last updated 15 minutes ago

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

  • Build the backbone of Generative AI cloud at AWS
  • Design, deliver and operate AWS cloud offerings for AI/ML and HPC workloads
  • Create server designs for Amazon's innovative web services
  • Work with engineers across the company for delivering next-generation AWS platforms
  • Own team systems and identify deficiencies proactively
  • Solve complex architectural problems
  • Lead technical solutions and work with cross-functional teams

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

Python
Java
Linux
Go
  • 3+ years of programming with modern languages (C++, C#, Java, Python, Golang, PowerShell, Ruby)
  • 4+ years of non-internship professional software development experience
  • 2+ years of designing or architecting systems experience
  • 4+ years of systems development in IT or data center environment
  • 4+ years of deploying and operating in Linux/Unix environment
  • 2+ years of systems design, software development, operations experience
  • Experience leading complex software solutions in production

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

Medical Insurance
401k
Parental Leave
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments
  • Flexible work arrangements
  • Career development and mentorship opportunities

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