Amazon
SDE, Neuron Inference, Neuron Inference
$144K–$194K
Seattle, WA · Full-time · Posted Sep 9, 2026
- Experience
- 3+ years professional software development; 2+ years systems design or architecture; 1+ year software development engineer or related occupational experience; 1+ year large-scale software development and 1+ year Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Develop and optimize core LLM inference components for AWS Neuron accelerators, adapting research to improve performance and accuracy across models.
What you'll do
- Develop and optimize LLM inference building blocks, including attention, MLP, quantization, speculative decoding, and mixture of experts.
- Adapt LLM optimization research to Neuron chips for open-source and internal models.
- Collaborate with chip architects, compiler engineers, runtime engineers, and other teams.
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.
- At least 1 year designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software using C#, C++, Java, or Perl; and at least 1 year of Object Oriented Design experience.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software language.
Nice to have
- 3+ years of full software development life cycle experience.
- Bachelor's degree in computer science or equivalent.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
AWS Neuron, AWS Inferentia, Trainium, C#, C++, Java, Perl
AI focus
Optimize LLM inference on AWS Neuron accelerators, including attention, MLP, quantization, speculative decoding, and mixture-of-experts; apply research to improve model performance and accuracy.
Model-written summary · the original posting is authoritative