Applied Scientist, AWS Neuron Science team

Applied Scientist, AWS Neuron Science team

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.

• 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

AWS Neuron is the software stack for Trainium and Inferentia, the AWS machine learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud, while Trainium delivers best-in-class ML training performance at the lowest training cost. Neuron provides an ML compiler and native integration into popular ML frameworks. Our products are used at scale by external customers such as Anthropic and Databricks, and internal customers including Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, and Amazon Rekognition.

• PhD, or Master’s degree with 4+ years of experience in CS, CE, ML, or a related field.
• Experience with patents or publications at top-tier peer‑reviewed conferences or journals.
• Proficiency in Java, C++, Python, or a related programming language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high‑performance computing.

• Experience building machine learning models or developing algorithms for business applications.
• Experience in professional software development.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

USA, CA, Cupertino – salary range:  –  USD annually. The Amazon package includes sign‑on payments, restricted stock units (RSUs), and additional benefits such as health insurance, 401(k) matching, paid time off, and parental leave.

Posted: January 30, 2026