Overview
Join NVIDIA’s Autonomous Vehicle Research team as a Research Intern and dive into the forefront of self-driving technology. You’ll contribute to foundational research in vehicle autonomy, tackling challenges in perception, planning, control, and safety-critical AI systems. This internship offers hands-on experience in designing novel algorithms while collaborating with interdisciplinary researchers and product teams to push the boundaries of autonomous vehicle capabilities.
What You'll Get Out of This Internship
- Conduct and publish cutting-edge research in autonomous vehicles, robotics, and AI
- Gain hands-on experience with real-world applications of vehicle autonomy in a leading tech company
- Collaborate with world-class experts in robotics, machine learning, and autonomous systems
- Build a strong research portfolio with potential publications in top-tier conferences and journals
- Exposure to transferring research innovations into commercial product applications
Key Responsibilities
- Design and implement advanced techniques for autonomous vehicle perception, planning, and control
- Conduct experiments and evaluate novel approaches to improve AV performance and safety
- Collaborate with internal teams and external researchers to advance research objectives
- Publish original research and contribute to open-source projects where applicable
- Translate research findings into solutions that can be adopted by NVIDIA product teams
- Develop and optimize software in Python, C++, and potentially CUDA for autonomous systems
- Maintain rigorous documentation and communication of research progress and outcomes
Requirements
- Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or related field
- Research experience in vehicle or robotic autonomy
- Strong theoretical and practical understanding of autonomy systems and AI for robotics
- Proven track record of research excellence, including publications in top conferences or journals
- Advanced programming skills in Python; knowledge of C++ and CUDA is a plus
- Familiarity with machine learning frameworks such as PyTorch or TensorFlow
- Strong communication skills and ability to thrive in a collaborative, research-focused environment
Who This Internship Is Ideal For
This role is perfect for highly motivated PhD students passionate about robotics, AI, and autonomous systems who want to bridge innovative research with real-world applications.
About the Company
NVIDIA is a global technology leader advancing AI, graphics, and autonomous systems. With a culture that values innovation, collaboration, and publishing research, NVIDIA provides an environment where researchers can make meaningful contributions to products while pushing the boundaries of science.
Internship Details
Location: Singapore
Duration: Flexible, aligned with research project requirements
Commitment: Full-time
Working Arrangement (Onsite/Hybrid/Remote): Onsite
Stipend (if provided): Not specified
Application Deadline: Rolling applications
