Job Description
Join NVIDIA's pioneering AI research team in San Jose this summer/fall! As an AI/ML Engineering Intern, you'll contribute to cutting-edge projects in generative AI, computer vision, and deep learning. This paid full-time internship offers mentorship from industry experts, hands-on GPU infrastructure access, and opportunities to publish research. Located in NVIDIA's state-of-the-art Silicon Valley campus, you'll collaborate with top talent shaping the future of AI. Enjoy competitive compensation, flexible scheduling, and exposure to real-world enterprise AI applications. Perfect for graduate students with strong Python/C++ skills seeking impactful experience in one of tech's most exciting fields.
Responsibilities
- Develop and optimize machine learning models using TensorFlow/PyTorch
- Implement GPU-accelerated algorithms for large-scale data processing
- Design and conduct experiments to improve model performance metrics
- Collaborate with cross-functional teams to integrate AI solutions into production systems
- Document research findings and contribute to technical publications
- Participate in code reviews and follow agile development practices
- Present project progress and results to engineering leadership
Qualifications
- Currently pursuing MS/PhD in Computer Science, AI, or related field
- Strong programming skills in Python and C++
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Familiarity with GPU programming (CUDA) and distributed systems
- Knowledge of computer vision or NLP techniques
- Ability to analyze complex datasets and derive actionable insights
- Excellent problem-solving and communication skills
- Previous internship or research experience in AI/ML preferred