Software Engineer - AI/ML, AWS Neuron Apps

Overview Shape the Future of AI Accelerators at AWS Neuron. Join the elite team behind AWS Neuron—the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you\'ll be at the forefront of deploying and optimizing some of the world\'s most sophisticated AI models at unprecedented scale.

What You\'ll Impact Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen

Optimize breakthrough language and vision generative AI models

Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration

Drive performance benchmarking and tuning that directly impacts millions of inference calls globally

Key Responsibilities You will drive the evolution of distributed AI at AWS Neuron

You\'ll develop the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn\'t just about optimization—it's about revolutionizing how AI models run at scale.

Spearhead distributed inference architecture for PyTorch and JAX using XLA

Engineer breakthrough performance optimizations for AWS Trainium and Inferentia

Develop ML tools to enhance LLM accuracy and efficiency

Transform complex tensor operations into highly optimized hardware implementations

Pioneer benchmarking methodologies that shape next-gen AI accelerator design

What Makes This Role Unique Direct influence on AWS\'s AI infrastructure used by thousands of ML applications

Full-stack optimization from high-level frameworks to hardware-specific primitives

Creation of tools and frameworks that define industry standards for ML deployment

Collaboration with open-source ML communities and hardware architecture teams

Your Technical Arsenal Deep expertise in Python and ML framework internals

Strong understanding of distributed systems and ML optimization

Passion for performance tuning and system architecture

Experience and Team Context AWS Neuron focuses on distributed inference for AI workloads, with emphasis on large language model optimization, architecture-aware performance tuning, and scalable deployment.

Basic Qualifications 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)

3+ years of programming experience using Python or C++ and PyTorch

Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving

Experience with accuracy debugging & tooling, performance benchmarking of AI accelerators

Fundamentals of machine learning and deep learning models, their architecture, training and inference lifecycles, with work experience on optimizations for improving model execution

Preferred Qualifications Bachelor\'s degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you require a workplace accommodation during the application and hiring process, including support for the interview or onboarding, please visit the accommodations page.

Our compensation reflects the cost of labor across US geographic markets. The base pay ranges and other compensation details are provided for context. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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