This role is for a software engineer in the Distributed Training team for AWS Neuron, focusing on optimizing distributed training performance on Trainium. The team collaborates with chip architects, compiler engineers, and runtime engineers to enhance training efficiency and throughput. The position involves working with various ML model families and frameworks, including PyTorch and JAX. The team values mentorship and knowledge-sharing, fostering an environment for career growth.

• 5+ years of non-internship professional software development experience
• 5+ years of programming experience with at least one software programming language
• 5+ years of experience leading design or architecture of new and existing systems
• 5+ years of experience in the full software development life cycle, including coding standards and operations
• Experience as a mentor, tech lead, or leading an engineering team
• Bachelor's degree in computer science or equivalent
• Machine Learning knowledge in frameworks and end-to-end model training

• Lead efforts to optimize distributed training performance on Trainium
• Maximize training throughput and model flops utilization across the Neuron software stack
• Work across PyTorch, JAX, and the Neuron compiler and runtime to enable large-scale training workloads
• Identify and resolve performance bottlenecks across the stack
• Collaborate with team members to enhance training efficiency

• 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.