Software Development Engineer AI​/ML, Inference Serving, AWS Neuron

Description

AWS Neuron powers AWS Inferentia and Trainium machine learning accelerators, delivering high‑performance, low‑cost inference  Neuron Serving team builds infrastructure to serve modern machine learning models—including large language models (LLMs) and multimodal workloads—reliably and efficiently on AWS silicon. This role focuses on leading and architecting next‑generation model‑serving infrastructure for 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

• Leading design reviews and architectural discussions
• Rapidly prototyping software to demonstrate customer value
• Debugging complex performance issues across the stack
• Mentoring junior engineers on system design and optimization
• Collaborating with research teams on new ML serving capabilities
• Driving technical decisions that shape the future of Neuron's inference stack

The Neuron Serving team is at the forefront of scalable and resilient AI infrastructure  focus on model‑agnostic inference innovations, including disaggregated serving, distributed KV cache management, CPU offloading, and container‑native solutions. The team is dedicated to up streaming Neuron SDK contributions to the open‑source community, enhancing performance and scalability for AI workloads.

• 5+ years of programming using a modern language such as Java, C++, or C#, with object‑oriented design experience
• 5+ years of leading design or architecture of new and existing systems (design patterns, reliability, scaling)
• 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• 5+ years of non‑internship professional software development experience
• Experience as a mentor, tech lead, or leading an engineering team

• Master's degree in computer science or equivalent
• Deep expertise in ML frameworks/libraries such as JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRT

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.