AWS Neuron is the software stack powering AWS Inferentia and Trainium machine learning accelerators, designed to deliver high-performance, low-cost inference at scale. The Neuron Serving team develops infrastructure to serve modern machine learning models—including large language models (LLMs) and multimodal workloads—reliably and efficiently on AWS silicon. We are seeking a Software Development Engineer to lead and architect our next-generation model serving infrastructure, with a particular focus on large-scale generative AI applications.

Architect and lead the design of distributed ML serving systems optimized for generative AI workloads

Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem

Design and implement scalable solutions for both offline and online inference workloads

Lead integration efforts with frameworks such as vLLM, SGLang, Torch XLA, TensorRT, and Triton

Develop and optimize system components for tensor/data parallelism and disaggregated serving

Implement and optimize custom PyTorch operators and NKI kernels

Mentor team members and provide technical leadership across multiple work streams

Drive architectural decisions that impact the entire Neuron serving stack

Collaborate with customers, product owners, and engineering teams to define technical strategy

Author technical documentation, design proposals, and architectural guidelines