As a Software Engineer II - AI/ML at Amazon Web Services, you will design and implement features that optimize machine learning models for AWS Trainium. The role is part of the Neuron Inference organization, focusing on enhancing inference performance across various ML models. You will work closely with customers to ensure their workloads achieve optimal performance while collaborating with cross-functional teams. This position offers a unique opportunity to innovate at the intersection of machine learning and high-performance computing.

• 3+ years of non-internship professional software development experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Knowledge of Python and/or C++ programming
• 3+ years of non-internship design or architecture experience of new and existing systems
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications
• Strong understanding of system performance, memory management, and parallel computing principles
• Experience with machine learning and LLM fundamentals
• Knowledge of machine learning model architecture and inference

• 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, implementation, and performance profiling.
• Build infrastructure to systematically analyze and onboard multiple models with diverse architectures.
• 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.
• Conduct comprehensive testing, including unit and end-to-end model testing.
• 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.