Sr. Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs

Overview

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 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. The team is comprised of experienced engineers, researchers, and product professionals focused on creating a toolchain that will provide a quantum leap in performance.

Your Role

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, publishing cutting-edge research, and mentoring a brilliant team of engineers excites and challenges you. You will leverage your technical communications skill 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. A background in Machine Learning and AI accelerators is preferred, but not required.

In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle.

About the Team

Inclusive Team Culture: We embrace our differences and are committed to inclusion with employee-led affinity groups, innovative benefits, and ongoing learning experiences. Our culture is reinforced by AWS Leadership Principles encouraging diverse perspectives, curiosity, and trust.

Work/Life Balance

We value work-life balance with flexible working hours and a rhythm that supports both personal and professional life.

Mentorship & Career Growth

We support new members through knowledge sharing and mentorship, and aim to align assignments with each member’s growth to take on more complex tasks in the future.

Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems
• 5+ years of full software development lifecycle experience including coding standards, code reviews, source control, build processes, testing, and operations
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

• Bachelor’s degree in computer science or equivalent

Company Information

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the Amazon accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year to $261,500/year, with variations based on location, knowledge, skills, and experience. Amazon is a total compensation company and may offer additional forms of compensation. For more information, please visit the Amazon benefits page. This position will remain posted until filled.