Applied Deep Learning Intern - Autonomous Driving

Roboticsconnected; Santa Clara (CA); Presencial; USD 48.000 - 83.000; Tempo parcial

Resumo da vaga

NVIDIA in Santa Clara, CA is seeking an Applied Deep Learning Algorithm Intern for our autonomous driving team. You will work with experienced engineers on learning‑based driving algorithms, fine‑tuning, reinforcement learning, data optimization, and model evaluation.

You should be pursuing a Master's or PhD in CS/AI/Robotics, have Python/PyTorch skills, and be able to collaborate with global teams and work at least three days per week.

Qualificações

• Pursuing a Master's or PhD in CS/AI/Robotics or related field.
• Strong Python skills with PyTorch or similar DL framework.
• Solid understanding of ML, DL, transformers, training, optimization, and dataset analysis.
• Excellent written and spoken English, able to collaborate with global teams.
• Available to work at least three days per week during the internship.

Responsabilidades

• Develop, train, fine-tune, and evaluate learning-based autonomous driving algorithms.
• Explore transformer-based approaches for driving-scene understanding, decision-making, and trajectory generation.
• Build data workflows and Python tools for labeling, experiment management, visualization, and evaluation.
• Analyze model failures and vehicle logs, improve dataset balance and data quality.
• Conduct supervised fine-tuning, reinforcement learning, ablation, and evaluation using offline metrics, simulation, and vehicle tests.
• Support model adaptation across multiple autonomous driving programs.

Conhecimentos

Python

PyTorch

Machine learning

Deep learning

Transformer architectures

Dataset analysis

English communication

Formação

Master's or PhD in Computer Science, Artificial Intelligence, Robotics, Mathematics, or related field

Descrição da vaga

NVIDIA in Santa Clara, CA is seeking an Applied Deep Learning Algorithm Intern for our autonomous driving team. You will work with experienced engineers on learning‑based driving algorithms, fine‑tuning, reinforcement learning, data optimization, and model evaluation.

You should be pursuing a Master's or PhD in CS/AI/Robotics, have Python/PyTorch skills, and be able to collaborate with global teams and work at least three days per week.