Senior Software Development Engineer, ECTrainium AI Infra; AWS
Listed on 2026-07-18
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AWS
Senior Software Development Engineer, EC2 Trainium AI Infra
Job : | Amazon Development Center U.S., Inc.
The Software Development Engineer will lead the team in technical strategy, design, build, and operation of infrastructure services including provisioning and availability of AWS Trainium-based AI servers. This role requires expertise in architecting large-scale systems, building micro‑services, and cross‑functional collaboration with several other teams such as capacity management, hardware engineering, and datacenter teams to manage AI/ML infrastructure.
Responsibilities- Design and develop innovative technologies that power the infrastructure supporting AI workloads on Ultraservers.
- Lead technical projects establishing EC2 as the pioneer in cloud computing for AI/ML workloads across diverse applications including LLMs, multimodal systems, and emerging model architectures.
- Collaborate with various teams to influence the architecture of provisioning systems and improve to operate at scale and efficiently.
- Build customer relationships by investigating complex performance challenges, developing solutions, and publishing actionable best practices through multiple channels.
The EC2 Ultra Server Provisioning team is a high‑performing engineering organization responsible for delivering AWS Trainium‑based Ultra Servers infrastructure manage end‑to‑end provisioning workflows from host ingestion through testing, repair, and recovery.
Basic Qualifications- 5+ years of non‑internship professional software development experience.
- 5+ years of programming with at least one software programming language.
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems.
- Experience as a mentor, tech lead or leading an engineering team.
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
- Bachelor's degree in computer science or equivalent.
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