Amazon
Compiler Engineer, Neuron Automated Reasoning Group
$129K–$148K
Seattle, WA +1 · Full-time · Posted Sep 28, 2026
- Location
- Seattle, WA
Cupertino, CA - Experience
- 1+ years of non-internship systems design or architecture experience. Preferred: 3+ years of full software development life cycle experience.
- Education
- Preferred: Bachelor's degree in computer science or equivalent.
About the job
Develop and optimize the AWS Neuron compiler so machine-learning models run efficiently on AWS Inferentia and Trainium accelerators.
What you'll do
- Design, implement, test, deploy, and maintain compiler features and optimizations, including verification passes and tools for analyzing numerical errors.
- Diagnose compiler defects and improve compiler performance, stability, and usability.
- Collaborate with chip architects, runtime and OS engineers, scientists, ML teams, and other stakeholders to deploy ML models on AWS accelerators.
What they ask for
- 1+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
- Experience programming in at least one software programming language.
Nice to have
- 3+ years of full software development life cycle experience.
- Bachelor's degree in computer science or equivalent.
Pay
$148,400.00 USD Annually (starting pay; base salary not specified) in Cupertino, CA; $129,000.00 USD Annually (starting pay; base salary not specified) in Seattle, WA
Tools
C++, Java, ML frameworks, PyTorch, TensorFlow, JAX, OpenXLA, StableHLO
AI focus
Build compiler technology that optimizes machine-learning models and workloads, including large language models and other advanced models, for AWS Inferentia and Trainium.
Model-written summary · the original posting is authoritative