SDE II: Infra for ML Workloads & Cloud Services

Amazon

Cupertino (CA)

On-site

USD 165,000 - 224,000

Full time

14 days+

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Software Engineer to lead the development of services that optimize, analyze, and release ML workloads and artifacts on AWS Inferentia/Trainium accelerators. You will work with EC2, EKS, Lambda-like services and contribute from architecture to delivery, with emphasis on performance and scalability.

The role requires strong experience in distributed systems, ML projects, and security practices in DevOps, in a startup-like environment.

Qualifications

3+ years of non-internship professional software development experience.
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems.
Experience with at least one software programming language.
Knowledge of system performance, memory management, and parallel computing principles.
Experience debugging, profiling, and implementing best practices in large-scale systems.
Experience with AWS or cloud technologies.

Responsibilities

Lead design and implementation of new tools, pipelines and automation across teams.
Design, implement, and maintain CI/CD pipelines to automate the software release process.
Collaborate with development teams to integrate new software releases.
Infrastructure management: automate provisioning and ensure high availability and scalability.
Implement monitoring to track performance and optimize systems.