Description
NVIDIA is hiring an Applied Engineer to architect and optimize end-to-end training workflows for robotics foundation models, build proof-of-concepts and agentic workflows, and scale pre-training, fine-tuning, and reinforcement learning workloads across multi-GPU and multi-node systems. The role also involves improving multimodal data pipelines, collaborating with researchers and product teams, and shaping Physical AI platforms. Candidates need an MS, PhD, or equivalent experience in a relevant field, at least five years of deep learning or large-scale model training experience, and expertise in distributed training, multimodal frameworks, and high-throughput data pipelines. The base salary range is 152,000 USD to 241,500 USD for Level 3 and 184,000 USD to 287,500 USD for Level 4, with equity and benefits; applications were accepted until August 31, 2026.
