Amazon.com Services LLC

Technology

Sr.MachineLearningCompilerEngineer,AWSNeuron,AnnapurnaLabs

$168–227k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs at Amazon.com Services LLC. Skills: Machine Learning Compiler, Deep Learning, Compiler Development. Support compiler development. Scale compiler”

What You'll Achieve.

Provide quantum leap in performance

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

5+ years software development experience, 5+ years programming experience, 5+ years leading system design, 5+ years full software development lifecycle experience, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team

Nice to Have

Background in Machine Learning, Background in AI accelerators, Bachelor's degree in computer science

What You'll Do.

Support compiler development

Partner with AWS ML services teams

Involve in pre-silicon design

Bring products to market

How You'll Work.

Team & Collaboration

AWS ML services teams

Communication Scope

Technical communications

Process & Methodology

Software development life cycle

Full Job Description

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. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by 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 MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your tec

Free ATS check

Applying for this Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon.com Services LLC?

Real rants from real employees. Read before you apply.

Read Company Rants →