SDE II, ML Infra Services, Annapurna Labs

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.

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.

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.

• 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

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

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

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

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

This role is onsite, with flexibility to work remotely when you're unable to make it into the office.

• 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

• 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
• Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
• Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
• Experience in Kubernetes, Docker or containers ecosystem, or experience managing full application stacks from the OS up through custom applications and experience in any Bigdata architecture
• Experience with version control systems and CI/CD pipeline implementation
• Strong proficiency in Go/Java, Python, and Java script/Typescript
• Application and kernel performance profiling and optimization
• Proficiency in integrated software/hardware performance analysis and optimization
• Experience designing and operating production services

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