Applied Scientist — ML Systems & Compiler Neuron Job Cupertino area,California USA,IT/Tech

Position: Applied Scientist — ML Systems & Compiler for Neuron

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

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.

Basic Qualifications

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

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

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound…