NVIDIA is seeking a highly skilled Deep Learning Engineer to develop systems and algorithms that extract intelligence from extensive data fleets. This role is focused on building the data engine for advanced AI platforms, particularly in the context of autonomous driving. The engineer will work collaboratively with researchers and software engineers to transition pioneering AI models from prototype to production. The position emphasizes hands-on experience with Large Language Models and Vision-Language Models in production environments.

• Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field or equivalent experience.
• 10+ years of professional experience in deep learning or applied machine learning.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs.
• Deep understanding of general transformer architectures, inference bottlenecks, and popular model architectures such as the Qwen family.
• Proficient in building and deploying models using PyTorch in production-grade environments.
• Solid programming skills in Python.

• Explore state-of-the-art LLM/VLM models for search and classification of autonomous vehicle scenarios.
• Develop and fine-tune large LLM/VLMs for internal use cases.
• Collaborate with software engineers and researchers to ensure seamless integration of models from training to deployment.

• 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.