Sr Systems Development Engineer, AWS AI/ML Servers

About the role

AWS is building automation, diagnostics, and predictive intelligence for the world’s largest fleet of AI/ML accelerator servers. The Systems Development Engineer will create automation software, diagnostic tooling, and fleet‑health infrastructure for accelerated compute platforms, working across hardware, firmware, kernel, and software to prevent customer‑impacting failures.

Key responsibilities

• Fleet health & predictive infrastructure: Build and own automation for large‑scale accelerator fleet health, design test frameworks and diagnostic tooling, develop predictive failure detection using telemetry and logs, and create monitoring dashboards and health metrics.
• Debugging & troubleshooting: Diagnose complex system‑level issues across compute, GPU, and networking in production, perform root‑cause analysis across firmware, kernel, driver, and physical layers, and feed findings back to manufacturing and design.
• Systems development & automation: Design scalable test automation for hardware bring‑up and regression, build data pipelines correlating test results and sensor telemetry, develop and maintain Linux device drivers on ARM and x86, and manage CI/CD pipelines for rapid deployment.
• Cross‑team collaboration: Work with engineering teams, internal customers, ODMs, and design partners to ensure testability and diagnostic coverage, and partner with datacenter operations to close the loop between field failures and design improvements.
• Operational excellence: Participate in post‑incident reviews, produce documentation and runbooks, and drive process improvements that increase team agility and delivery velocity.
• Travel: May require occasional (

About the team

The Hardware Engineering AI/ML UltraServer platform team launches GPU‑accelerated servers into the AWS fleet. Located in Seattle, Austin, and Cupertino, the team collaborates with global development groups and ODM partners to deliver next‑generation AI/ML infrastructure deployed worldwide.

Basic qualifications

• 6+ years of systems design, software development, operations, automation, and process improvement experience.
• 6+ years of professional software development (non‑internship) experience.
• 6+ years of programming with at least one modern language (C++, C#, Java, Python, Go, PowerShell, Ruby, etc.).
• 6+ years of designing or architecting new and existing systems (design patterns, reliability, scaling).
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience.
• 5+ years of Linux/Unix operating systems experience.

Preferred qualifications

• Master’s degree or higher in computer science, electrical engineering, or a related field.
• 5+ years of full software development life‑cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
• Experience leading the development of complex software or computing infrastructure delivered to customers.
• 5+ years building scripts, tooling, and automation for large‑scale computing environments.
• Experience troubleshooting hardware, CUDA or low‑level ML kernels.
• 5+ years of hardware design and validation of components, subsystems, and systems.
• Experience leading technical teams through operations and maintenance, or background in data‑center engineering/operations.

Compensation

Base salary ranges (USD annually):

• Cupertino, CA: $173,900 – $235,200
• Austin, TX: $151,200 – $204,600
• Seattle, WA: $151,200 – $204,600

Final compensation includes sign‑on payments and restricted stock units (RSUs) and is determined by experience, qualifications, and location.

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription), life and AD&D insurance, employee assistance program, mental‑health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.