Amazon
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
$193K–$262K
Seattle, WA +1 · Senior · Full-time · Posted Jan 28, 2026
- Location
- Seattle, WA
Cupertino, CA - Experience
- 5+ years for each of the stated software development, programming, design or architecture, and full software development life cycle experience areas; mentoring, tech lead, or engineering team leadership experience also required.
- Education
- Bachelor's degree in computer science or equivalent.
About the job
Develop and scale the AWS Neuron deep learning compiler for AWS machine-learning accelerators, optimizing neural-network workloads and bringing features to market.
What you'll do
- Architect and implement compiler features for large machine-learning workloads.
- Partner with AWS ML services teams and contribute to pre-silicon design and product launches.
- Publish research and mentor engineers.
What they ask for
- 5+ years of non-internship professional software development experience.
- 5+ years of programming experience with at least one software programming language.
- 5+ years of leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- 5+ years of full software development life cycle experience; experience as a mentor, tech lead, or engineering team lead.
Nice to have
- Bachelor's degree in computer science or equivalent.
- Background in Machine Learning and AI accelerators.
Pay
193,300.00 - 261,500.00 USD annually (base salary)
Tools
AWS Neuron, Inferentia, Trainium, PyTorch, TensorFlow, MxNet, MXNET
AI focus
Develop a deep learning compiler stack that converts neural-network descriptions into code for execution on AWS machine-learning accelerators and optimizes complex neural-network models.
Model-written summary · the original posting is authoritative