> Markdown version of [/jobs/ext/2105688-sr-software-development-engineer-inference-team-aws-neuron](https://www.wearedevelopers.com/jobs/ext/2105688-sr-software-development-engineer-inference-team-aws-neuron). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Development Engineer, Inference Team - AWS Neuron - **Company:** Amazon.com, Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Salary:** $193,300.0 - $261,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Application Frameworks, Systems Engineering, C Sharp (Programming Language), C++ (Programming Language), Code Review, Nvidia CUDA, Computer Programming, Linux Kernel, Machine Learning, Object-Oriented Software Development, Open Source Technology, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Parallel Computation, Information Technology, Build Process, Software Coding, Software Version Control - **Published:** August 18, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10503981/sr-software-development-engineer-inference-team-aws-neuron ## About the Role 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience - Fundamentals of Machine learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model performance., Master's degree in Computer Science or a related field - Hands-on experience with PyTorch or JAX, preferably involving developing and deploying LLMs in production on GPUs, AWS Neuron, TPUs, or other AI accelerator hardware - Experience extending or contributing to inference frameworks such as vLLM or SGLang - Kernel development experience (e.g., CUDA, Triton) ## Description AWS Neuron is the complete software stack for AWS Inferentia and Trainium, AWS purpose-built accelerators for cloud-scale machine learning. This senior software engineering role is part of the Machine Learning Inference Applications team and focuses on delivering high-performance model inference solutions for customer workloads running on Inferentia- and Trainium-powered instances. The engineer will lead the development of core serving technologies within open-source frameworks (such as vLLM and SGLang) to enable customers to serve large-scale inference efficiently on AWS Neuron. The engineer will also drive excellence in inference framework optimization and engineering best practices. The engineer will work closely with model development engineers, performance engineers, compiler engineers, and runtime engineers to ensure end-to-end model performance and deliver production-ready accuracy, scalability, and efficiency across a broad range of models and customer use cases., The engineer will lead the customization and optimization of open-source inference frameworks (vLLM, SGLang) on AWS Neuron-including core framework logic such as scheduling and model execution-applying state-of-the-art techniques in kernel development, parallel computation, distributed KV cache, speculative decoding, and systems engineering to deliver best-in-class LLM serving performance. The engineer will also influence the team's technical roadmap by evaluating emerging inference research and translating it into production-ready features, and raise the bar through design leadership and mentorship. This role requires close collaboration across model development, compiler, runtime, and performance engineering teams. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)