Software Engineer AI/ML AWS Neuron

Overview

The Software Engineer AI/ML AWS Neuron role at Amazon Web Services (AWS) focuses on developing, enabling, and optimizing large-scale machine learning model training across diverse architectures. You will work on designing, implementing, and improving distributed training solutions for modern ML models on AWS Trainium systems.

Key Responsibilities

• Design, implement, and optimize distributed training solutions for large-scale ML models.
• Extend and optimize distributed training frameworks like FSDP, torchtitan, and Hugging Face libraries.
• Profile, analyze, and tune end-to-end training pipelines for optimal performance.
• Collaborate with hardware, compiler, runtime teams, and AWS solution architects.
• Engage with customers to deploy and optimize training workloads at scale.

About the Team & Culture

Join a team that fosters an inclusive culture, work/life balance and career growth. Benefit from mentorship opportunities, flexible working hours, and a collaborative environment that values diverse perspectives.

Basic & Preferred Qualifications

Basic qualifications include 3+ years of professional software development and design experience, programming proficiency, and deep learning algorithm skills. Preferred qualifications involve advanced experience with full development cycles, deep learning frameworks like PyTorch, Jax or Tensorflow, and distributed libraries.

Compensation & Benefits

The base salary range is provided along with additional benefits such as sign-on payments, RSUs, comprehensive health insurance, 401(k) matching, paid time off, and parental leave.

Key skills/competency

• Distributed Training
• ML Model Optimization
• Deep Learning
• Software Development
• High Performance Computing
• Programming
• Optimization Techniques
• AWS Trainium
• Frameworks
• Collaboration