Amazon
Sr. Software Development Engineer AI/ML, Inference Model Enablement, AWS Neuron
$193K–$262K
Cupertino, CA · Senior · Full-time · Posted Jul 29, 2026
- Experience
- 5+ years for each of the stated programming, design/architecture, software development life-cycle, and professional software development experience qualifications.
- Education
- Master's degree in computer science or equivalent (preferred).
About the job
Onboard and optimize open-source and customer LLMs for inference on AWS Trainium, while improving the speed, usability, and performance of the Neuron inference stack.
What you'll do
- Deliver high-performance models using distributed inference libraries and optimize performance and reliability across the Neuron ecosystem.
- Lead architectural decisions and technical initiatives across the Neuron serving stack; mentor engineers.
- Collaborate with customers and cross-functional teams, and author technical documentation, design proposals, and architectural guidelines.
What they ask for
- 5+ years programming in a modern language such as Java, C++, or C#, including object-oriented design.
- 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- 5+ years across the full software development life cycle, including coding standards, reviews, source control, builds, testing, and operations.
- 5+ years of non-internship professional software development experience; experience mentoring, serving as a tech lead, or leading an engineering team.
Nice to have
- Master's degree in computer science or equivalent.
- Experience with machine learning and LLM fundamentals, including architecture, training/inference lifecycles, and model execution optimization.
Pay
193,300.00 - 261,500.00 USD annually (base salary)
Tools
AWS Neuron, Trainium, Java, C++, C#, vLLM Neuron plugin
AI focus
Enable and optimize dense and MoE LLMs for inference on Trainium accelerators; improve inference features, infrastructure, tools, automation, usability, and quality.
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