The role is for an Applied Engineer focused on training foundation models at scale, particularly in the field of robotics. The team is dedicated to advancing Physical AI through innovative research and real-world applications. This position involves collaboration with researchers and engineers to optimize training workflows and improve model performance. The engineer will work on scaling robotics models from experimentation to production, influencing product direction and AI adoption.

• MS, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Electrical or Computer Engineering, Robotics, or a related field.
• 5+ years of industry or research experience in deep learning, distributed computing, or large-scale model training.
• Hands-on experience training or optimizing multimodal or foundation models, ideally in robotics settings.
• Strong expertise in distributed training techniques on multi-GPU or multi-node systems.
• Expertise with multimodal training frameworks such as PyTorch, NVIDIA NeMo, JAX, or Hugging Face Transformers.
• Strong communication skills with the ability to effectively collaborate across Researchers, Engineers and executives.

• Engage with Researchers and ML engineers to architect and optimize end-to-end training workflows for robotics foundation models.
• Build proof-of-concepts, reference architectures, and agentic workflows that accelerate experimentation and model improvement.
• Scale pre-training, fine-tuning, and reinforcement learning workloads across multi-GPU and multi-node systems.
• Identify and eliminate data pipeline bottlenecks across storage, networking, preprocessing, and data loading for multimodal datasets.
• Collaborate with NVIDIA product and engineering teams to provide feedback that shapes future Physical AI platforms.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.