AI Infrastructure & Inference Systems Engineer

Amazon

Sunnyvale (CA)

On-site

USD 165,000 - 224,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
RSUs
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a Software Development Engineer to join the Alexa AI Logistics for Infrastructure, Cost, and Efficiency (ALICE) team in Sunnyvale, CA. You will design and build large-scale, distributed systems powering AI inference and cost optimization for Alexa services.

You will collaborate with senior engineers, optimize GPU fleets, and ensure production readiness through rigorous reviews and standards. Eligible for Amazon benefits and RSUs.

Qualifications

  • Bachelor's degree in CS, Engineering, Math or related field.
  • 3+ years non-internship software development experience.
  • 2+ years design/architecture experience of large systems.

Responsibilities

  • Design, develop, and maintain large-scale distributed systems and infrastructure services.
  • Work on GPU fleet management and optimization for low-latency ML inference workloads at large scale.
  • Collaborate with senior engineers to deliver features from design through production deployment.
  • Set standards and contribute to the operational excellence of Tier-1 production services.
  • Write clean, testable, maintainable code and participate in code reviews.
  • Work closely with Alexa and AWS teams to deliver cross-functional projects.
  • Research opportunities to improve service performance, reliability, and cost efficiency.

Skills

Distributed systems
GPU management
Code reviews
Collaboration

Education

Bachelor's degree (CS/Engineering/Math)

Tools

Python
C++

Job description

Amazon is seeking a Software Development Engineer to join the Alexa AI Logistics for Infrastructure, Cost, and Efficiency (ALICE) team in Sunnyvale, CA. You will design and build large-scale, distributed systems powering AI inference and cost optimization for Alexa services.

You will collaborate with senior engineers, optimize GPU fleets, and ensure production readiness through rigorous reviews and standards. Eligible for Amazon benefits and RSUs.

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