Amazon
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
$168K–$262K
Seattle, WA +1 · Senior · Full-time · Posted May 27, 2026
- Location
- Seattle, WA
Cupertino, CA - Experience
- 5+ years of full software development life cycle experience and 3+ years developing compiler features and optimizations.
- Education
- Bachelor's degree in computer science or equivalent; preferred: Master or PhD degree in computer science or equivalent.
About the job
Build and improve the AWS Neuron compiler that optimizes machine-learning models for deployment on AWS Inferentia and Trainium accelerators.
What you'll do
- Design, implement, test, deploy, and maintain compiler software and performance, stability, and usability improvements.
- Develop compiler optimization and verification passes, analysis tools, and features that expose accelerator capabilities to developers.
- Collaborate with chip, runtime, OS, science, and ML teams and engage with open-source communities and partners.
What they ask for
- Bachelor's degree in computer science or equivalent.
- 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- 3+ years of experience developing compiler features and optimizations.
- Proficiency in one or more of C++ (preferred) or Python.
Nice to have
- Master or PhD degree in computer science or equivalent.
- Experience with compiler design and related optimization areas, LLVM and/or MLIR, or LLM, vision, or other deep-learning models.
Pay
193,300.00 - 261,500.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary)
Tools
AWS Neuron, AWS Inferentia, Trainium, C++, Python, LLVM, MLIR, OpenXLA
AI focus
Optimize compilation and deployment of machine-learning models, including large language models, diffusion, and vision models, for AWS accelerators.
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