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

OverviewThe 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 TeamAs 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.Role DescriptionYou: 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 experienced 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.Basic Qualifications5+ years of non-internship professional software development experience5+ years of programming with at least one software programming language experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceExperience as a mentor, tech lead or leading an engineering teamPreferred QualificationsBachelor's degree in computer science or equivalentAmazon 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 Amazon accommodations 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 in our lowest geographic market up to $261,500/year in our highest geographic market.Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.Amazon is a total compensation company.Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.For more information, please visit Amazon benefits.This position will remain posted until filled.Applicants should apply via our internal or external career site.#J-*****-Ljbffr