SDE II, ML Infra Services, Annapurna Labs

Amazon.com Services LLC; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon.com Services LLC is seeking an engineer to lead the design and implementation of ML infrastructure platforms, enabling capacity management, workload scheduling, and fleet orchestration across ML accelerators.

You will collaborate with ML scientists, infrastructure engineers, hardware teams, and internal customers to ensure low wait times, high utilization, and zero-config deployment across environments.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience of new and existing systems.
• Experience programming with at least one software programming language.

Responsibilities

• Lead the design and implementation of ML infrastructure platform for capacity management, workload scheduling, and fleet orchestration.
• Collaborate with ML scientists, training infrastructure engineers, hardware teams, and internal customers to deliver seamless ML Infra access.
• Build high-impact solutions, participate in design discussions, code reviews, and communicate with stakeholders.
• Work in a startup-like development environment, focusing on the most important tasks.

Skills

Go

Java

Python

JavaScript/TypeScript

Education

Bachelor's degree in computer science or equivalent

Tools

Kubernetes

Git

Job description

Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.

Key job responsibilities

This engineer will lead the design and implementation of ML infrastructure platform, building systems for capacity management, workload scheduling, and fleet orchestration across ML accelerators. They will work with ML scientists, training infrastructure engineers, hardware teams, and internal customers to ensure the ML Infra service delivers seamless ML Accelerator access with low wait times, high utilization, and zero-config deployment from various environments.

A day in the life

As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also:

• Build high-impact solutions to deliver to our large customer base.
• Participate in design discussions, code review, and communicate with internal and external stakeholders.
• Work cross-functionally to help drive business decisions with your technical input.
• Work in a startup-like development environment, where you're always working on the most important stuff.

About the team

• High-impact, high-visibility: You'll directly accelerate every Neuron team's ability to ship - your work multiplies the output of 100+ engineers
• Greenfield opportunities: We're actively building new capabilities with significant design ownership for SDEs
• Small, senior team: where every person owns major components and drives architectural decisions
• AI infrastructure: Work at the intersection of Kubernetes, custom silicon, and large-scale ML workloads

Diverse Experiences

We value diverse experiences and non-traditional career paths. If your career is just starting or includes alternative experiences, we encourage you to apply.

Inclusive Team Culture

Our employee-led affinity groups foster inclusion. Events like CORE and AmazeCon inspire us to embrace our uniqueness.

Work/Life Balance

We strive for flexibility as part of our working culture, supporting you both at work and at home.

Mentorship & Career Growth

We offer knowledge-sharing, mentorship, and one-on-one code reviews to help you grow as a professional.

Basic 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
• Experience programming with at least one software programming language

Preferred Qualifications:

• 3+ 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
• 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
• Strong proficiency in Go/Java, Python and working knowledge Javascript/TypeScript
• Experience building and operating large-scale distributed systems on Kubernetes
• Experience designing, deploying, and maintaining production services at scale, including on-call ownership
• Experience with machine learning infrastructure - orchestration, scheduling, or resource management at scale
• Proficiency in application and kernel-level performance profiling and optimization
• Experience with integrated software/hardware performance analysis in heterogeneous compute environments
• Proficiency in observability and telemetry - instrumentation, metrics collection, alarming, dashboarding, and monitoring
• Experience debugging complex issues in large-scale distributed systems and driving best practices

Amazon is an equal opportunity employer and does not discriminate on the basis