Senior AI/ML Accelerator Systems Engineer

Amazon Web Services (AWS); Seattle (WA); On-site; USD 151,000 - 205,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) in Seattle seeks a senior software developer to lead the design, build, and deployment of scalable server software. You will solve complex reliability and performance challenges across hardware and software layers, from bare‑metal up to userland, and mentor others in parallel delivery.

You will work with SDEs, SDETs, Hardware Engineers, TPMs, and managers to drive high‑quality, scalable cloud infrastructure for AI/ML and HPC workloads.

Qualifications

• 4+ years of non‑internship professional software development experience
• 4+ years of deploying and operating in a Linux/Unix environment experience
• 4+ years of systems development in an IT or data center environment experience
• 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
• 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• 2+ years of systems design, software development, operations, automation, and process improvement experience
• Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production

Responsibilities

• Lead technical solutions to complex server system issues
• Decompose large server system testability, reliability and diagnosis tasks into actionable components
• Collaborate with cross-functional teams to deliver features in parallel

Skills

C++

Java

Python

Linux/Unix

Systems development

Leadership

Debugging

Tools

x86 architecture

AI/ML servers

Job description

Amazon Web Services (AWS) in Seattle seeks a senior software developer to lead the design, build, and deployment of scalable server software. You will solve complex reliability and performance challenges across hardware and software layers, from bare‑metal up to userland, and mentor others in parallel delivery.

You will work with SDEs, SDETs, Hardware Engineers, TPMs, and managers to drive high‑quality, scalable cloud infrastructure for AI/ML and HPC workloads.