Job Description
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: Designin...
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: Designin...
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- Location Cupertino, CA
- Job Type Full-time
- Category other-general
- Posted Date June 29, 2026
- Application Deadline July 04, 2026