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Systems Development Engineer, GPU & AI Accelerator Servers, AWS Hardware Engineering
Job Location:
Job Location:
Cupertino, CA - USA
Yearly Salary:
USD 129200 - 174800
Yearly Salary:
Posted:
29 September 2026 (11 hours ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Application deadline: Oct 1 2026
Do you want to build the infrastructure that keeps Artificial Intelligence compute capacity available to Generative AI customers Do you want to solve problems at the boundary between physical hardware and software - at cloud scale
AWS Hardware Engineering is looking for a Systems Development Engineer to own the health and development of server platforms at worldwide fleet scale. You will develop automation analyze hardware telemetry across tens of thousands of hosts and build tooling that directly determines whether capacity is available to customers. Your work spans the full stack from hardware monitoring interfaces to health diagnostics up through fleet-wide data pipelines and operational dashboards.
Key job responsibilities
Fleet Health & Data Analysis
- Analyze hardware failure patterns using fleet telemetry system event logs and datacenter tooling to identify root causes and quantify customer impact
- Contribute to predictive failure detection using sensor data error trending and log correlation
- Build and maintain operational dashboards and metrics for platform fleet health.
- Build tooling to track component lifecycle (firmware versions part revisions supply chain status) across large-scale fleets
Systems Development & Automation
- Develop and maintain automation for hardware test firmware qualification and capacity recovery workflows
- Develop diagnostic tools for Linux on ARM and x86 architectures
- Debug and resolve Linux boot and runtime issues across processor architectures - PCIe Power NIC NVMe and GPU subsystems
- Build automation solutions using Python Java or similar languages with focus on scalability and operational durability
Cross-Team Collaboration
- Collaborate with software hardware manufacturing networking and vendor teams to validate and qualify new compute solutions
- Troubleshoot complex system-level issues in production environments correlating across firmware operating systems drivers and physical layers
- Participate in sprint-based planning and oncall rotation for platform-level escalations
A day in the life
Some days you are deep in system event logs chasing a failure pattern across thousands of hosts; other days you are writing automation that eliminates a manual triage workflow entirely. You work with hardware engineers firmware teams datacenter operations and vendor partners - driving quality and reliability from manufacturing through steady-state operations. Located in Cupertino Seattle or Denver you work with global development teams on servers deployed in datacenters worldwide.
About the team
AWS Hardware Engineering designs and delivers next-generation cloud infrastructure - the servers accelerators and storage platforms that power AWS. Our team builds custom systems for AI training inference and compute workloads at global scale. We are directly responsible for launching and maintaining server hardware in the fleet working across internal development teams and design partners.
We value work-life harmony inclusive culture and continuous learning. Even if you do not meet all preferred qualifications listed below we encourage you to apply.
- 2 years of non-internship professional software development experience
- 1 years of designing or architecting (design patterns reliability and scaling) of new and existing systems experience
- 3 years of administrative experience in networking storage systems operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking storage operating systems)
- Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
- Experience with PowerShell (preferred) Python Ruby or Java
- Experience working in an Agile environment using the Scrum methodology
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Do you want to build the infrastructure that keeps Artificial Intelligence compute capacity available to Generative AI customers Do you want to solve problems at the boundary between physical hardware and software - at cloud scale
AWS Hardware Engineering is looking for a Systems Development Engineer to own the health and development of server platforms at worldwide fleet scale. You will develop automation analyze hardware telemetry across tens of thousands of hosts and build tooling that directly determines whether capacity is available to customers. Your work spans the full stack from hardware monitoring interfaces to health diagnostics up through fleet-wide data pipelines and operational dashboards.
Key job responsibilities
Fleet Health & Data Analysis
- Analyze hardware failure patterns using fleet telemetry system event logs and datacenter tooling to identify root causes and quantify customer impact
- Contribute to predictive failure detection using sensor data error trending and log correlation
- Build and maintain operational dashboards and metrics for platform fleet health.
- Build tooling to track component lifecycle (firmware versions part revisions supply chain status) across large-scale fleets
Systems Development & Automation
- Develop and maintain automation for hardware test firmware qualification and capacity recovery workflows
- Develop diagnostic tools for Linux on ARM and x86 architectures
- Debug and resolve Linux boot and runtime issues across processor architectures - PCIe Power NIC NVMe and GPU subsystems
- Build automation solutions using Python Java or similar languages with focus on scalability and operational durability
Cross-Team Collaboration
- Collaborate with software hardware manufacturing networking and vendor teams to validate and qualify new compute solutions
- Troubleshoot complex system-level issues in production environments correlating across firmware operating systems drivers and physical layers
- Participate in sprint-based planning and oncall rotation for platform-level escalations
A day in the life
Some days you are deep in system event logs chasing a failure pattern across thousands of hosts; other days you are writing automation that eliminates a manual triage workflow entirely. You work with hardware engineers firmware teams datacenter operations and vendor partners - driving quality and reliability from manufacturing through steady-state operations. Located in Cupertino Seattle or Denver you work with global development teams on servers deployed in datacenters worldwide.
About the team
AWS Hardware Engineering designs and delivers next-generation cloud infrastructure - the servers accelerators and storage platforms that power AWS. Our team builds custom systems for AI training inference and compute workloads at global scale. We are directly responsible for launching and maintaining server hardware in the fleet working across internal development teams and design partners.
We value work-life harmony inclusive culture and continuous learning. Even if you do not meet all preferred qualifications listed below we encourage you to apply.
- 2 years of non-internship professional software development experience
- 1 years of designing or architecting (design patterns reliability and scaling) of new and existing systems experience
- 3 years of administrative experience in networking storage systems operating systems and hands-on systems engineering experience
- Knowledge of systems engineering fundamentals (networking storage operating systems)
- Experience programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby
- Experience with PowerShell (preferred) Python Ruby or Java
- Experience working in an Agile environment using the Scrum methodology
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Cupertino - 148700.00 - 201200.00 USD annually
USA CO Denver - 129200.00 - 174800.00 USD annually
USA WA Seattle - 129200.00 - 174800.00 USD annually
Required Experience:
IC
About Company
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