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# Applied Scientist, AWS Neuron Science team

- **Company:** Amazon.com, Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $171,600.0 - $222,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Alexa, Amazon Web Services, Business Software, C++ (Programming Language), Code Generation, Data Mining, Distributed Systems, Python (Programming Language), Linux Kernel, Machine Learning, Parsing, Tensorflow, Azure Machine Learning, Software Engineering, High Performance Computing, Mobile Robots, Machine Learning Operations, Databricks
- **Published:** June 3, 2026
- **Apply:** https://dejobs.org/x/x/ECBED58580764E44B8495F345043E4F1/job/

## About the Role

* PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
 * Experience in patents or publications at top-tier peer-reviewed conferences or journals
 * Experience programming in Java, C++, Python or related language
 * Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

 * Experience building machine learning models or developing algorithms for business application
 * Experience in professional software development

## Description

The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas:

 * AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization
 * Machine Learning Compiler: Creating advanced compiler techniques for ML workloads
 * System Robustness: Building tools for accuracy and reliability validation
 * Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures

About the team

AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.


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