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Senior ML Inference Architect GenAI Systems

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Amazon Web Services (AWS)
Full Time position
Listed on 2026-07-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 210000 - 280000 USD Yearly USD 210000.00 280000.00 YEAR
Job Description & How to Apply Below
Position: Senior ML Inference Architect for GenAI Systems

Description

AWS Neuron is the software stack powering AWS Inferentia and Trainium machine learning accelerators, designed to deliver high-performance, low-cost inference  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.

Description

AWS Neuron is the software stack powering AWS Inferentia and Trainium machine learning accelerators, designed to deliver high-performance, low-cost inference  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.

Key job 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
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  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 up streaming 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.

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- Basic 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


Preferred Qualifications

  • 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.

Los Angeles County applicants:
Job duties for this position include: work safely and…
Position Requirements
10+ Years work experience
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