Engineering Manager, Compiler Optimization , AWS ...

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium.The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration.The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance.As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology.This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators.KEY JOB RESPONSIBILITIESDesign and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming modelsAnalyze and optimize kernel-level performance across multiple generations of Neuron hardwareConduct detailed performance analysis using profiling tools to identify and resolve bottlenecksImplement compiler optimizations such as fusion, sharding, tiling, and schedulingWork directly with customers to enable and optimize their ML models on AWS acceleratorsCollaborate across teams to develop innovative kernel optimization techniquesA DAY IN THE LIFEAs you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer baseParticipate in design discussions, code review, and communicate with internal and external stakeholdersWork cross-functionally to help drive business decisions with your technical inputWork in a startup-like development environment, where you’re always working on the most important stuffABOUT THE TEAMWhy 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 startups to Global 500 rely on our products and clusive Team Culture We embrace our differences and are committed to inclusion. We have employee-led affinity groups and offer diverse benefits and learning experiences, reinforcing our Leadership Principles.Work/Life Balance We value balance and offer flexible hours to support personal and professional fulfillment.Mentorship & Career Growth We support new members with mentorship and project assignments that develop engineers into more capable professionals.Diverse Experiences We encourage applicants with nontraditional backgrounds to apply.BASIC QUALIFICATIONS3+ years of engineering team management experience7+ years of direct experience working within engineering teams3+ years designing or architecting systems (design patterns, reliability, scaling)8+ years leading the definition and development of multi-tier web servicesKnowledge of engineering practices and patterns across the full software/hardware/networks lifecycle, including coding standards, code reviews, source control, build processes, testing, and live-site operationsExperience partnering with product or program management teamsPREFERRED QUALIFICATIONSExperience communicating with users, other technical teams, and senior leadership to collect requirements, describe software features and designs, and align on product strategyExperience in recruiting, hiring, mentoring/coaching, and managing teams to improve engineers’ skills and effectivenessAmazon 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, please visit amazon.jobs/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. #J-18808-Ljbffr

Created: 2025-09-17