Research Scientist, Efficient Deep Learning - New College Grad 2026

About the role

We are seeking a researcher with a passion for pushing the boundaries of efficient deep learning. The ideal candidate will contribute to our team's efforts in publishing at top venues in computer vision and machine learning.

Responsibilities

• Research and design novel methods for efficient deep learning.
• Implement these methods in practice.
• Collaborate with other team members and cross-functional teams.
• Mentor interns and contribute to the team's publications.
• Present findings at conferences and events.
• Work with product groups to translate research into practical applications.
• Collaborate with external researchers to advance the field.

Requirements

• Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
• Excellent knowledge of computer vision methods and deep learning.
• Background in pruning, quantization, neural architecture search (NAS), efficient backbone networks, and related areas.
• Experience with large language models and large vision-language models.
• Strong programming skills in Python and PyTorch; proficiency in C++ and parallel programming (e.g., CUDA) is a plus.
• Hands-on experience with large-scale model training, including data preparation and model parallelization (tensor and pipeline).
• Outstanding research track record.
• Excellent communication skills.

Qualifications

• Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
• Experience with large language models and large vision-language models.
• Programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) experience is a plus.
• Experience with large-scale model training, including data preparation and model parallelization (tensor and pipeline).
• Outstanding research record.
• Excellent communication skills.

Skills

• Pruning, quantization, neural architecture search (NAS), efficient backbone networks, and related areas.
• Large language models and large vision-language models.
• Python and PyTorch programming.
• C++ and parallel programming (e.g., CUDA).
• Data preparation and model parallelization (tensor and pipeline).

Benefits

• NVIDIA offers a competitive base salary range of $168,000 - $264,500, depending on location, experience, and the pay of employees in similar positions.
• Equity and benefits are also provided.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

Details regarding the schedule will be provided upon hire.

Contact

If you're interested in applying, please submit your application by June 15, 2026.

NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment. We highly value diversity in our workforce and welcome applications from all qualified individuals.