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

AWS Neuron • Cupertino, CA

12d

About The Position

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. A day in the life You'll lead critical technical initiatives while mentoring team members. You'll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities. Your day might involve: Leading design reviews and architectural discussions Rapidly prototyping software to show 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 About the team The Neuron Serving team is at the forefront of scalable and resilient AI infrastructure at AWS. We focus on developing model-agnostic inference innovations, including disaggregated serving, distributed KV cache management, CPU offloading, and container-native solutions. Our team is dedicated to upstreaming Neuron SDK contributions to the open-source community, enhancing performance and scalability for AI workloads. We're committed to pushing the boundaries of what's possible in large-scale ML serving. Recent shares: https://github.com/aws-neuron/upstreaming-to-vllm/releases/tag/2.25.0 https://awsdocs-neuron.readthedocs-hosted.com/en/latest/libraries/nxd-inference/developer_guides/disaggregated-inference.html

Requirements

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

Nice To Haves

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

Responsibilities

• 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

Benefits

• Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
• For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees