Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage

Job description

Design and develop scalable, distributed File and Object storage solutions that serve as the critical foundational backbone for complex AI/ML workloads within the GDC environment. Engineer advanced solutions optimized for massive throughput, specifically enabling high-frequency model checkpointing and the ultra-low latency data access required for AI training and inference. Drive technical execution with external partners (e.g., VAST Data) to seamlessly integrate industry-leading, high-performance storage hardware with Google’s distributed software ecosystem. Take full life-cycle responsibility for core storage services, ensuring uncompromising security, data durability, and high availability across disconnected edge and on-premises data center environments. Partner closely with AI infrastructure, compute, and networking teams to architect system-wide improvements, eliminate Input/Output bottlenecks, and deliver a unified \ Minimum Qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in systems architecture, including building or maintaining distributed systems or large-scale storage architectures. 5 years of experience in systems programming (e.g., C++, Go, or Rust). Preferred Qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.