Hardware Development Engineer, AI/ML Server Development
Amazon
Hardware Development Engineer, AI/ML Server Development
Job Description
Application deadline: Sep 1, 2026 Are you curious about what happens inside the servers that power AI? Do you enjoy debugging problems and figuring out why something broke? Are you excited to learn fast, work on real systems, and see your contributions matter from day one? If that sounds like you, we'd love to meet you. AWS Hardware Engineering builds and maintains the servers behind the world's largest cloud. Our team focuses on GPU-accelerated platforms — the infrastructure that runs generative AI, machine learning training, and large language models at global scale. It's complex, it's fast-moving, and it's an incredible place to start your career. We're looking for a Hardware Development Engineer to join us and grow. You don't need to know everything on day one — you need to be curious, willing to learn, and energized by solving problems. You'll be supported by experienced engineers who'll mentor you as you ramp up on real fleet challenges: understanding why a GPU server misbehaves, building tools to catch issues automatically, and helping improve the reliability of infrastructure used by millions. You'll learn how servers work end-to-end — hardware, firmware, software, and operations — and you'll contribute to a team that's pushing toward a future where systems heal themselves. Your ideas will matter, your work will ship, and you'll develop skills that are hard to get anywhere else. Key job 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 A day in the life - You'll work on infrastructure at a scale that doesn't exist anywhere else - You'll develop rare cross-stack expertise (hardware + firmware + software + operations) early in your career - You'll have mentorship from senior engineers and a team that invests in your growth - You'll see your work directly improve the systems powering the next generation of AI
Locations
- Seattle, Washington, United States
- Denver, Colorado, United States
- Cupertino, California, United States
Salary
126,100 - 185,000 USD / yearly
Skills Required
- Linux environmentsintermediate
Required Qualifications
- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent (degree in above in electrical engineering)
- Experience communicating technical concepts and processes using clear, simple language and visuals (experience)
- Understanding of computer architecture (CPU, memory, buses, I/O) (experience)
- Hands-on experience with Linux environments (coursework, labs, or personal projects) (experience)
- Strong organizational skills and the ability to work well with cross-functional teams (experience)
- Desire and energy to work in a fast-paced, learning-intensive environment (experience)
Preferred Qualifications
- Experience programming or scripting language like Python, Java, C or C++ (experience)
- co-op program at your university in engineering or equivalent, or experience from previous technical internship(s) or demonstrated project experience (experience)
- 1+ years of industry work experience (experience, 1 years)
- Coursework or projects in embedded systems, computer architecture, or hardware-software interaction (experience)
- Experience debugging hardware or software issues in lab or project settings (experience)
- Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
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
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