Software Development Manager

Software Development Manager - ML Compiler, AWS Neuron, Annapurna LabsThe Product: AWS Machine Learning accelerators are at the forefront of AWS innovation.The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the 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 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 MxNet.The Neuron SDK optimizes performance of complex neural-net models executed on AWS Inferentia and Trainium.AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, Airbnb, Autodesk, Amazon Alexa, Amazon Rekognition and many others.The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers.We are at the forefront of innovation by combining cloud scale with the world's most talented engineers.Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations.With such breadth of talent, there is an opportunity to learn all of the time.We operate in spaces that are very large, yet our teams remain small and agile.There is no blueprint – we're inventing and experimenting.Our working culture is uniquely learning-focused.Learn more about Our History: You: As a Manager III on the AWS Neuron team, you'll be leading a team of compiler engineers through developing, deploying and scaling a compiler targeting AWS Inferentia and Trainium.You must be technically capable, credible and curious, acting as a trusted AWS Neuron Manager.You'll partner with AWS ML services teams, participate in pre-silicon design, bring new products/optimizations/features to market and work on exciting projects to ensure the Neuron SDK exceeds our customers' needs of high performance, low cost and ease of use.You will have deep knowledge of resource management, scheduling, code generation, optimization, and new instruction architectures including CPU, NPU, GPU and novel forms of compute.In order to be considered for this role, candidates must be currently located or willing to relocate to Toronto.About the Team: Our team is dedicated to supporting new members.We have a broad mix of experience levels and tenures and build an environment that celebrates knowledge-sharing and mentorship.Senior members enjoy one-on-one mentoring and thorough, yet kind, code reviews.We care about your career growth and strive to assign projects that help your engineering expertise expand.Diverse Experiences: AWS values diverse experiences.Even if you do not meet all of the qualifications and skills listed in the job description, we encourage you to apply.If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let that stop you from applying.About AWS: Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture: Here at AWS, it's in our nature to learn and be curious.Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences.Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life Balance: We value work-life harmony.Achieving success at work should never come at the expense of sacrifices at home; that's why we strive for flexibility as part of our working culture.Mentorship & Career Growth: We're continuously raising our performance bar as we strive to become Earth's best employer.You'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications3+ years of engineering team management experience6+ years of working directly within engineering teams experience4+ years of designing or architecting new and existing systems (design patterns, reliability and scaling)Experience partnering with product or program management teamsExcellent software design fundamentals, knowledge of software engineering principles, and a deep understanding of compilers (resource management, instruction scheduling, code generation and compute graph optimization)Preferred QualificationsM.S. or Ph.D. in Computer Science or related technical fieldExperience with toolchains (LLVM, GCC) and code generation techniques for new hardwareKnowledge of compiler internals from front end to run-time environment with emphasis on AI accelerationAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.#J-*****-Ljbffr