Johns Hopkins Applied Physics Laboratory seeks an AI Solutions Engineer to bridge researchers and a scalable AI computing platform. You will configure and evolve the AI stack, collaborate on platform deployments, and assist researchers with GPU-accelerated workloads for training, inference, and deployment.
Ideal candidates have 3+ years in Kubernetes/Docker, hands-on Jupyter, and experience with PyTorch, TensorFlow, or similar frameworks.
#J-18808-LjbffrAI Platform Engineer: Scale GPU AI & Research in laurel at Unknown Company
This position is listed as full time and onsite.