Senior Systems Engineer - Generative AI Cloud

Amazon Web Services (AWS); Austin (TX); On-site; USD 151,200 - 204,600; Full time

Job summary

Amazon’s Annapurna Labs (U.S.) Inc. in Austin, TX is seeking engineers to build the backbone for Generative AI cloud.

You will work with cross‑functional teams to deliver next‑generation AWS platforms, owning complex server systems and driving reliability and scale. The role requires 4+ years in programming (C++, C#, Java, Python, Go, PowerShell, or Ruby) and 3+ years designing scalable systems, with experience across x86, ARM, and GPU/FPGA devices.

Qualifications

• 4+ years of programming in at least one modern language (C++, C#, Java, Python, Go, PowerShell, Ruby).
• 3+ years of professional software development experience.
• 3+ years of designing or architecting systems for reliability and scaling.
• Experience with x86, ARM and GPU/FPGA devices.
• Knowledge of storage, networking, memory, and interface standards (I2C, IPMI, SPI, PCIe).
• BS degree in CS/CE or equivalent work experience.

Responsibilities

• Solve complex architectural problems across AWS platforms.
• Own and scale team systems; write code to prevent customer impact.
• Decompose server system testability, reliability, and diagnostics issues.
• Diagnose and improve systems using hardware, software, and accelerator tech.
• Create automation and AI-driven tools to support workflows.
• Collaborate with SDEs, SDETs, TPMs, and managers across AWS.

Skills

C++

C#

Java

Python

Golang

PowerShell

Ruby

Education

BS in Computer Science or Computer Engineering or related field

Tools

IPMI

PCIe

I2C

SPI

Job description

Amazon’s Annapurna Labs (U.S.) Inc. in Austin, TX is seeking engineers to build the backbone for Generative AI cloud.

You will work with cross‑functional teams to deliver next‑generation AWS platforms, owning complex server systems and driving reliability and scale. The role requires 4+ years in programming (C++, C#, Java, Python, Go, PowerShell, or Ruby) and 3+ years designing scalable systems, with experience across x86, ARM, and GPU/FPGA devices.