About this opportunity
Amazon Web Services (AWS) lists this Software Engineer - AI/ML, AWS Neuron Apps opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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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Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.