AI Infrastructure Engineer

• Seattle, Washington, United States
• Full time

What you can expect

We are seeking an experienced AI Infrastructure Engineer to join our AI Incubation team. You will be focused on building and optimizing large-scale training infrastructure for Large Language Models (LLMs). The ideal candidate will combine engineering fundamentals with practical experience in AI infrastructure development, demonstrating both technical depth and the ability to deliver scalable solutions for complex AI systems.

About the Team

The AI incubation team is dedicated to incubating AI breakthroughs, including foundational AI techniques and AI native applications that will largely improve people’s work productivity.

Responsibilities

• Designing and developing scalable AI infrastructure solutions for training and deploying large language models
• Building and optimizing distributed training platforms using cutting-edge technologies
• Implementing and maintaining containerized AI environments using Docker and Kubernetes
• Optimizing CUDA kernels for maximum GPU utilization and performance
• Developing platform software to support AI/ML workflows
• Collaborating with AI researchers to implement efficient training and inference pipelines

What we’re looking for

• Have a bachelor's degree in Computer Science, Engineering, AI, Machine Learning, Distributed System or related field
• 5+ years of software engineering experience with focus on infrastructure and systems
• Have expertise in GPU programming and CUDA optimization
• Have experience with container technologies (Docker, Kubernetes), distributed systems and cloud computing
• Demonstrate experience building large-scale distributed systems and optimizing neural network performance
• Possess programming skills in Python, C++, and CUDA, with deep learning frameworks (PyTorch, Transformers)

Salary Range or On Target Earnings

Minimum

$151,800.00 Maximum:

$332,200.00 In addition to the base salary and...