Senior Software Engineer, AWS EKS & ML Infra

Amazon Inc.; Santa Clara (CA); Sur place; USD 193 000 - 262 000; Plein temps

Résumé du poste

Amazon Development Center U.S., Inc. seeks an experienced software engineer to build and operate infrastructure for training, fine-tuning and inference of AI models within the EKS/Kubernetes ecosystem.

You will collaborate with AI teams to operationalize models and scale ML infrastructure across GPUs and AWS silicon like Trainium, while contributing to open source projects and ensuring high reliability. This cross-functional role emphasizes mentoring, scalable design, and customer-focused

Qualifications

• Bachelor's degree in computer science or equivalent.
• 8+ 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 of new and existing systems.
• Experience as a mentor, tech lead or leading an engineering team.
• Knowledge of professional software engineering lifecycle and best practices.
• Proven software development skills in Java, Golang, C/C++, Python and/or Perl in Linux.
• Familiarity with distributed systems and network protocols.
• Strong CS fundamentals in data structures and algorithms.
• Strong object-oriented design and system architecture knowledge.
• Adept problem solving and troubleshooting skills.

Responsabilités

• You will be working with customers spanning from industry-leading AI labs to Fortune 500 enterprise companies that are leveraging EKS to train and deploy models at scale.
• You will work with Amazon's AI teams to operationalize purpose-built models to improve the EKS experience for new and existing users.
• As a member of the EKS Networking team, you will contribute to open source projects such as AWS VPC CNI, eBPF based network policy, AWS load balancer controller and work on next generation eBPF based network observability and telemetry.
• Additionally our ideal candidate will have experience with machine learning infrastructure like GPUs or AWS silicon like Trainium as well as supporting networking infrastructure like NCCL. They should be able to set technical strategy and oversee the development of high-scale, reliable infrastructure.

Connaissances

Distributed systems

Kubernetes

Machine learning infra

Java

Golang

Python

C/C++

Problem solving

Code reviews

Mentoring

Formation

Bachelor's degree in computer science or equivalent

Outils

Linux

AWS technologies

Description du poste

Amazon Development Center U.S., Inc. seeks an experienced software engineer to build and operate infrastructure for training, fine-tuning and inference of AI models within the EKS/Kubernetes ecosystem.

You will collaborate with AI teams to operationalize models and scale ML infrastructure across GPUs and AWS silicon like Trainium, while contributing to open source projects and ensuring high reliability. This cross-functional role emphasizes mentoring, scalable design, and customer-focused