OverviewAWS 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.ResponsibilitiesArchitect and lead the design of distributed ML serving systems optimized for generative AI workloadsDrive technical excellence in performance optimization and system reliability across the Neuron ecosystemDesign and implement scalable solutions for both offline and online inference workloadsLead integration efforts with frameworks such as vLLM, SGLang, Torch XLA, TensorRT, and TritonDevelop and optimize system components for tensor/data parallelism and disaggregated servingImplement and optimize custom PyTorch operators and NKI kernelsMentor team members and provide technical leadership across multiple work streamsDrive architectural decisions that impact the entire Neuron serving stackCollaborate with customers, product owners, and engineering teams to define technical strategyAuthor technical documentation, design proposals, and architectural guidelinesA day in the lifeYou'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 discussionsRapidly prototyping software to show customer valueDebugging complex performance issues across the stackMentoring junior engineers on system design and optimizationCollaborating with research teams on new ML serving capabilitiesDriving technical decisions that shape the future of Neuron's inference stackAbout the teamThe 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.Basic Qualifications5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience5+ years of non-internship professional software development experienceExperience as a mentor, tech lead or leading an engineering teamPreferred QualificationsMaster's degree in computer science or equivalentDeep expertise in ML Frameworks/Libraries such as JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRTAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. 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 aboutamazon.com/workplace/employee-benefits.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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