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

About the role

The AWS 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. This role involves leading and architecting the next-generation model serving infrastructure with a focus on large-scale generative AI applications.

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

Qualifications

• 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

Benefits

Amazon offers comprehensive benefits including health insurance, retirement savings plans, paid time off, and parental leave. For more information, visit here.