NVIDIA is seeking a researcher focused on efficient deep learning to join its deep learning efficiency research team. The team is dedicated to impactful research that advances the field while addressing real-world applications. Candidates will engage in various methods such as post-training model optimization and efficient architecture design. This role offers the opportunity to collaborate with a talented team and contribute to significant advancements in computer vision and machine learning.

• Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, or equivalent research experience.
• Excellent knowledge of theory and practice of computer vision methods and deep learning.
• Experience with large language models and large vision-language models is required.
• Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
• Hands-on experience with large-scale model training including data preparation and model parallelization is required.
• Outstanding research track record.
• Excellent communication skills.

• Research, design and implement novel methods for efficient deep learning.
• Publish original research.
• Collaborate with other team members and teams.
• Mentor interns.
• Speak at conferences and events.
• Work with product groups to transfer technology.
• Collaborate with external researchers.

• 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.