Senior Software Engineer, Cloud AI/Machine Learning Infrastructure

Google Cloud is seeking a Senior Software Engineer to join their Cloud ML Compute Services team, focusing on advancing AI infrastructure capabilities. This role combines deep technical expertise in machine learning systems with large-scale distributed computing challenges. The position involves optimizing ML workload performance across the entire technical stack, from networking and storage to ML models, while working with cutting-edge AI technologies.

As a key member of the team, you'll be responsible for designing and implementing solutions that enhance the performance and reliability of Google Cloud's AI/ML infrastructure. You'll work with state-of-the-art technologies including GPUs and TPUs, and handle complex challenges in distributed computing and machine learning systems. The role requires strong collaboration with cross-functional teams and the ability to adapt to rapidly evolving AI technologies.

This is an excellent opportunity for someone passionate about AI infrastructure who wants to make a significant impact on Google Cloud's machine learning capabilities. You'll be working at the forefront of AI technology, helping to shape the future of cloud-based machine learning infrastructure while solving complex technical challenges that affect Google Cloud's global customer base.

The position offers the chance to work with world-class engineers and researchers, access to Google's advanced computing resources, and the opportunity to influence the direction of Google Cloud's AI infrastructure. You'll be part of a team that's driving innovation in cloud computing and machine learning, making these technologies more accessible and efficient for organizations worldwide.