The role focuses on developing and optimizing machine learning models and frameworks for deployment on Amazon's custom ML hardware accelerators. The Inference Enablement and Acceleration team emphasizes collaboration and innovation, working closely with customers to ensure optimal performance of their machine learning workloads. Engineers will engage in low-level optimization and system architecture, contributing to the future of AI acceleration technology. This position offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures.

• Bachelor's degree in computer science or equivalent.
• 5+ years of non-internship professional software development experience.
• 5+ years of non-internship design or architecture experience of new and existing systems.
• Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles.
• Software development experience in C++ and Python.

• 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 architecture.
• Analyze and optimize system-level performance across multiple generations of Neuron hardware.
• 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.