Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)