As a Senior Software Engineer on the Machine Learning Applications team at AWS Neuron, you will optimize AI models for Amazon's custom machine learning accelerators. This role involves working at the intersection of machine learning, high-performance computing, and distributed architectures. You will collaborate with various teams to enhance the performance of machine learning workloads for a global customer base. The position offers a unique opportunity to influence the future of AI acceleration technology.

• Bachelor's degree in Computer Science or equivalent.
• 5+ years of non-internship professional software development experience.
• Knowledge of Python and/or C++ programming.
• 5+ years of experience leading design or architecture of new and existing systems.
• Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems.
• Knowledge of system performance, memory management, and parallel computing principles.
• Experience owning a performance optimization roadmap and mentoring engineers on optimization.
• Master's degree in computer science or equivalent is preferred.
• Knowledge of machine learning model architecture and inference.
• Hands-on development with PyTorch is preferred.
• Experience scaling workloads across multi-GPU and multi-node topologies.
• Experience writing and optimizing custom CUDA/Triton kernels for tensor operations.

• Help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK.
• Tune models to ensure highest performance and maximize efficiency on AWS Trainium and Inferentia.
• Design, develop, and optimize machine learning models on custom AI accelerators.
• Participate in all stages of the ML system development lifecycle.
• Build infrastructure to analyze and onboard multiple models with diverse architecture.
• Design and implement high-performance kernels and features for ML operations.
• Analyze and optimize system-level performance across multiple generations of Neuron hardware.
• Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks.
• Implement 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 optimization techniques.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.