Amazon
SDE II, ML Infra Services, Annapurna Labs
$144K–$194K
Seattle, WA · Full-time · Posted Sep 19, 2026
- Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture experience. Preferred: 3+ years full software development life cycle experience; 2+ years building large-scale machine-learning infrastructure.
- Education
- Bachelor's degree in computer science or equivalent (preferred).
About the job
Leads development of ML infrastructure services for managing capacity, scheduling workloads, and orchestrating fleets of AWS ML accelerators.
What you'll do
- Design and implement ML infrastructure for accelerator access, workload scheduling, capacity management, and fleet orchestration.
- Develop tools and improvements to run, optimize, and analyze ML workloads; create metrics, automate processes, and resolve software defects.
- Collaborate with ML scientists, infrastructure engineers, hardware teams, and customers; contribute to design reviews and technical decisions.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
- Experience programming with at least one software programming language.
Nice to have
- Bachelor's degree in computer science or equivalent.
- Experience with large-scale ML infrastructure, distributed systems on Kubernetes, performance profiling, or production services at scale.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
AWS Neuron, Inferentia, Trainium, Kubernetes, Go, Java, Python, Javascript/TypeScript
AI focus
Builds ML infrastructure and tools for running, optimizing, analyzing, scheduling, and managing workloads on AWS ML accelerators.
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