This role is focused on building distributed inference support for PyTorch in the Neuron SDK at Amazon Web Services. The Inference Enablement and Acceleration team works at the intersection of machine learning, high-performance computing, and distributed architectures. Engineers in this team will optimize large language models for AWS's custom ML accelerators, ensuring high performance and efficiency. The position offers a unique opportunity to collaborate with customers and contribute to innovative solutions in AI acceleration technology.

• Bachelor's degree in computer science or equivalent.
• 5+ years of non-internship professional software development experience.
• 5+ years of experience in design or architecture of new and existing systems.
• Fundamentals of machine learning and large language models, including architecture, training, and inference lifecycles.
• Software development experience in C++ and Python.
• Strong understanding of system performance, memory management, and parallel computing principles.
• Familiarity with PyTorch, JIT compilation, and AOT tracing.
• Experience with online/offline inference serving in production environments.

• Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.
• Participate in all stages of the ML system development lifecycle, including architecture design and performance profiling.
• 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.

• 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.