Amazon Software Engineer-AI/ML AWS Neuron Inference 

United States, Washington, Seattle 

845578003

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models such as Llama 3.3 70B, 3.1 405B, DBRX, Mixtral, and so on.Key job responsibilities
Responsibilities of this role include adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models. Working across teams and organizations is key.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Fundamentals of Machine learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model performance.

- 3+ 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
- Hands-on experience with PyTorch or Jax - preferably involving developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.