Amazon
Engineering Manager, Embedded Systems Optimization, AWS Neuron, Annapurna Labs
Amazon, Austin, Texas, us, 78716
Overview
The Annapurna Labs team at AWS builds AWS Neuron, the SDK used to accelerate deep learning and GenAI workloads on Inferentia and Trainium accelerators. The Acceleration Kernel Library team focuses on maximizing performance for AWS custom ML accelerators by crafting high-performance kernels for ML functions, combining deep hardware knowledge with ML expertise to push AI acceleration. The AWS Neuron SDK includes an ML compiler, runtime, and application framework that integrates with popular ML frameworks like PyTorch, enabling high-performance ML inference and training. The role sits within the Neuron Compiler organization and works across frameworks, compilers, runtime, and collectives to optimize current performance and influence future architecture designs. The team collaborates with customers to enable models and ensure optimal performance, at the intersection of machine learning, high-performance computing, and distributed architectures. This is an opportunity to work on cutting-edge products, architect and implement business-critical features, publish research, and mentor a team of engineers in a fast, startup-like culture focused on invention and experimentation. The team engages directly with customers on model enablement, providing optimization expertise for ML workloads on AWS accelerators. Explore the product and our history, for context and team culture: AWS Neuron guides and repositories are referenced in the job description. Key job responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models Analyze and optimize kernel-level performance across multiple generations of Neuron hardware Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks Implement compiler optimizations such as fusion, sharding, tiling, and scheduling Work directly with customers to enable and optimize their ML models on AWS accelerators Collaborate across teams to develop innovative kernel optimization techniques BASIC QUALIFICATIONS
3+ years of engineering team management experience 7+ years of working directly within engineering teams experience 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience 8+ years of leading the definition and development of multi-tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams PREFERRED QUALIFICATIONS
Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers 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, please visit Amazon’s accommodations information for more details. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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The Annapurna Labs team at AWS builds AWS Neuron, the SDK used to accelerate deep learning and GenAI workloads on Inferentia and Trainium accelerators. The Acceleration Kernel Library team focuses on maximizing performance for AWS custom ML accelerators by crafting high-performance kernels for ML functions, combining deep hardware knowledge with ML expertise to push AI acceleration. The AWS Neuron SDK includes an ML compiler, runtime, and application framework that integrates with popular ML frameworks like PyTorch, enabling high-performance ML inference and training. The role sits within the Neuron Compiler organization and works across frameworks, compilers, runtime, and collectives to optimize current performance and influence future architecture designs. The team collaborates with customers to enable models and ensure optimal performance, at the intersection of machine learning, high-performance computing, and distributed architectures. This is an opportunity to work on cutting-edge products, architect and implement business-critical features, publish research, and mentor a team of engineers in a fast, startup-like culture focused on invention and experimentation. The team engages directly with customers on model enablement, providing optimization expertise for ML workloads on AWS accelerators. Explore the product and our history, for context and team culture: AWS Neuron guides and repositories are referenced in the job description. Key job responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models Analyze and optimize kernel-level performance across multiple generations of Neuron hardware Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks Implement compiler optimizations such as fusion, sharding, tiling, and scheduling Work directly with customers to enable and optimize their ML models on AWS accelerators Collaborate across teams to develop innovative kernel optimization techniques BASIC QUALIFICATIONS
3+ years of engineering team management experience 7+ years of working directly within engineering teams experience 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience 8+ years of leading the definition and development of multi-tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams PREFERRED QUALIFICATIONS
Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers 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, please visit Amazon’s accommodations information for more details. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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