Machine Learning Compiler Engineer II

hace 1 mes


Madrid, Madrid, España Amazon A tiempo completo
The Role:

As a Machine Learning Compiler Engineer II at Amazon, you will be part of the AWS Neuron Compiler team, responsible for developing a deep learning compiler stack that takes state-of-the-art LLM and Vision models and makes them run performantly on our accelerators.

You will work closely with experienced engineers to architect and implement business-critical features, publish cutting-edge research, and contribute to a brilliant team.

Your technical communications skills will be leveraged as a hands-on partner to AWS ML services teams, and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects.


Key Responsibilities:
  • Solve challenging technical problems at every layer of the stack.
  • Design, implement, test, deploy, and maintain innovative software solutions to transform service performance, durability, cost, and security.
  • Build high-quality, highly available, always-on products.
  • Research implementations that deliver the best possible experiences for customers.

About the Team:

The Neuron Compiler team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on creating a toolchain that will provide a quantum leap in performance.

You will be working on a cutting-edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime, and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow, and JAX.


About the Product:

AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS.

The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud, and Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud.



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