The Senior Machine Learning Engineer will join NVIDIA's end-to-end autonomous driving team, focusing on building, training, and deploying large-scale driving models. The role involves leveraging advanced architectures and creating a data flywheel to enhance system performance in real-world scenarios. Candidates will work in a diverse and innovative environment, contributing to the next era of computing with AI-driven technologies. This position offers the opportunity to make a significant impact in the field of autonomous driving.

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Strong background in modern deep learning, including transformer-based architectures and multimodal models.
• Hands-on experience training and deploying deep learning models on real-world datasets.
• Practical experience with data-centric methods such as active learning and outlier detection.
• Proficiency in Python and at least one major deep learning framework, along with solid software engineering practices.
• Demonstrated ability to collaborate effectively across teams and communicate clearly with technical and non-technical partners.
• Track record of leading complex cross-team projects and making critical technical decisions.

• Design, implement, and train large-scale end-to-end driving models.
• Identify failure cases and specify data collection and labeling needs to improve model performance.
• Build and maintain high-quality multimodal datasets for autonomous driving.
• Develop and apply data-centric learning algorithms to enhance model training.
• Explore and productize new data sources to improve model robustness.
• Design and implement automated data workflows to maximize development velocity.
• Foster collaborative partnerships with researchers and engineers to transform research into robust machine learning models.

• 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.