We are seeking exceptional Machine Learning Engineers to join our Physical AI teams, focusing on developing advanced generative pipelines for high-fidelity synthetic datasets. This role involves leveraging multimodal models and diffusion techniques to simulate complex physical environments, contributing to the future of AI in real-world applications. The team is dedicated to ensuring that AI agents are trained on diverse and rigorous data. You will have the opportunity to work on technology that will drive the cars of the future.

• BS, MS, or PhD in Computer Science, Computer Graphics, Robotics, or a related field.
• 12+ years of experience in ML software development.
• Deep technical knowledge of image/video synthesis, including diffusion models and multimodal methods.
• Strong hands-on skills in major DNN libraries and programming languages, particularly Python.
• Strong analytical and mathematical skills to connect data-driven approaches with physical world constraints.
• Experience in assessing the impact of synthetic data on model performance through metrics and validation.

• Architect and implement advanced image and video generation models for synthetic data.
• Build and fine-tune large-scale multimodal models using various architectures.
• Apply user controls during data generation for precise environmental control.
• Establish KPI evaluation and validation for quality assurance of synthetic releases.
• Develop automated data QA pipelines using classical computer vision algorithms and VLMs.
• Lead the generation of massive training datasets using state-of-the-art tools.

• 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.