← all jobs

[Remote] Hardware Development Engineer, AI/ML Server Development

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Amazon Web Services builds and maintains the servers that power large-scale cloud infrastructure, including GPU-accelerated platforms for generative AI and machine learning. The Hardware Development Engineer will investigate and root-cause hardware issues, analyze failure trends, participate in server design reviews, and collaborate across engineering and operations teams to improve infrastructure reliability.

Responsibilities

  • Investigate and root cause hardware issues on GPU server platforms with support of an experienced engineer — you'll learn to trace problems across electrical, firmware, and software layers
  • Analyze failure data and trends to identify systemic problems and propose fixes
  • Work with senior engineers to understand server architecture, GPU subsystems, and fleet operations
  • Participate in design reviews for new server platforms, contributing a reliability and serviceability perspective
  • Collaborate with cross-functional teams (firmware, software, manufacturing, datacenter operations) to close the loop between field failures and design improvements
  • Document findings, contribute to runbooks, and share knowledge with the team

Skills

  • • Bachelor's degree or above in electrical engineering, computer engineering, or equivalent
  • • Experience communicating technical concepts and processes using clear, simple language and visuals
  • • Understanding of computer architecture (CPU, memory, buses, I/O)
  • • Hands-on experience with Linux environments (coursework, labs, or personal projects)
  • • Strong organizational skills and the ability to work well with cross-functional teams
  • • Desire and energy to work in a fast-paced, learning-intensive environment
  • • Experience programming or scripting language like Python, Java, C or C++
  • • co-op program at your university in engineering or equivalent, or experience from previous technical internship(s) or demonstrated project experience
  • • 1+ years of industry work experience
  • • Coursework or projects in embedded systems, computer architecture, or hardware-software interaction
  • • Experience debugging hardware or software issues in lab or project settings

Benefits

  • Sign-on payments
  • Restricted stock units (RSUs)
  • Health insurance, including medical, dental, vision, and prescription coverage
  • Basic Life & AD&D insurance
  • Option for Supplemental life plans
  • Employee Assistance Program (EAP)
  • Mental Health Support
  • Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Mentorship from senior engineers
  • A team that invests in your growth

Company Overview

  • Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. It was founded in 2002, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is http://aws.amazon.com.
  • Company H1B Sponsorship

  • Amazon Web Services (AWS) has a track record of offering H1B sponsorships, with 7552 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.
  • More open positions

    [Remote] Finance Manager, DC Growth, AWS Infrastructure Finance

    Work from home Full-time role

    [Remote] System Development Engineer, AWS Manufacturing Infrastructure Services

    Work from home Full-time role

    [Remote] Finance Manager, AWS Sales and Services, AWS Marketplace and Partner Services

    Work from home Full-time role

    [Remote] Software Development Engineer, Bespoke Solutions; ADC Hardware & Software Team

    Work from home Full-time role

    [Remote] Hardware Engineer - ML Acceleration, Annapurna Labs

    Work from home Full-time role

    [Remote] IT Systems Operations Engineer - Remote

    Work from home Full-time role

    Remote Customer Service Representative – Small Business Support Specialist – Competitive Salary & Career Growth at workpinnacle

    Work from home Full-time role

    Seasoned Remote Data Entry Specialist – Expert in Travel & Accessibility Data Management for brighthush

    Work from home Full-time role

    Authorization Specialist Associate -Remote

    Work from home Full-time role

    Client Services Associate

    Work from home Full-time role

    [Remote] Data Scientist

    Work from home Full-time role

    Part‑Time Remote Customer Service Specialist – Washington, WA – Exceptional Support & Engagement

    Work from home Full-time role

    [Remote] Staff Analyst Series - Regional Operations

    Work from home Full-time role

    [Remote] Product Manager II

    Work from home Full-time role

    Operator & License Owner

    Work from home Full-time role

    Senior Remote Customer Service Specialist – Global Multi‐Channel Support, Advanced Problem‐Solving, Customer Success Leadership, Remote‐First Culture at brighthush

    Work from home Full-time role

    [Remote] Software Engineer (Libraries Platform)

    Work from home Full-time role

    Senior Mechanical Engineer - Building Systems

    Work from home Full-time role

    [Remote] Vice President of Operations

    Work from home Full-time role

    Ecologist / Environmental Scientist

    Work from home Full-time role

    SAP Business Technology Platform Developer

    Work from home Full-time role