Amazon.com Services LLC
Technology
Sr.MachineLearningCompilerEngineer,AWSNeuron,AnnapurnaLabs
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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
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