The Machine Learning Engineer will join NVIDIA's Autonomous Vehicles Data Curation team, focusing on curating high-quality datasets and ground truth for autonomous vehicles. This role involves collaborating with top researchers and engineers in deep learning and computer vision to enhance self-driving technology. The engineer will work on building datasets and tools that support perception, prediction, planning, and control for achieving full autonomy in vehicles. This position offers the opportunity to contribute to groundbreaking advancements in AI and autonomous navigation.

• PhD with 1+ year, or MS with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Proven experience building robust software.
• Passionate about Artificial Intelligence for robotics and autonomous navigation.
• Strong math knowledge.
• Experience in Deep Learning / Machine Learning with a background in Computer Vision and/or multimodal learning.
• Programming and debugging skills in C++ and/or Python.
• Good communication and analytical skills.

• Stay up to date with the latest research and innovations in deep learning.
• Foster collaborative partnerships with researchers and engineers to transform innovative research into robust machine learning models.
• Take approaches from initial evaluation and experimentation all the way to shipping.
• Define, collect, and curate training and evaluation datasets with a focus on scenario coverage and label quality.
• Develop vision-language models and embeddings for scenario search, classification, and automated data curation.
• Build training pipelines and scalable inference systems using PyTorch, TensorFlow, TensorRT, Python, and C++.

• 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.