Customer Engineer IV, AI Infrastructure, Google Public Sector

Job description

Minimum qualifications: - Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. - 10 years of experience with cloud native architecture in a customer-facing or support role. - Experience with frameworks for deep learning (e.g. PyTorch, Tensor Flow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs. - Ability to travel up to 20% of the time as required. - Must possess an Active Top Secret/SCI US Government Security Clearance with polygraph. Preferred qualifications: - Experience with prevailing ML development frameworks (e.g., Keras, PyTorch, Tensor Flow, JAX). - Familiarity with the AI software development life-cycle (data processing, model building, training, evaluation, deployment). - Familiarity with AI related tooling (Slurm, vLLM, Ray, Vertex, K8s, etc.). - Ability to deliver results and work cross-functionally to position and orchestrate a solution consisting of multiple products. About the job: When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational...