As a Machine Learning Compiler Engineer II on the AWS Neuron team, you will support the development and scaling of a compiler for large ML workloads. The team focuses on optimizing the performance of complex neural net models on custom-built AWS hardware. You will work alongside experienced engineers to architect and implement critical features while contributing to cutting-edge research. A background in Machine Learning and AI accelerators is preferred but not required.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle experience, including coding standards and testing
• Bachelor's degree in computer science or equivalent

• Support the ground-up development of a compiler for ML workloads
• Architect and implement business-critical features
• Publish cutting-edge research in the field of machine learning
• Collaborate with AWS ML services teams as a hands-on partner
• Involve in pre-silicon design and bring new products/features to market

• 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.