# Ph.D. Research Autonomous Vehicles

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Job type**: internship
**Salary**: 38 USD - 94 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/NVIDIA-2027-Internships--PhD-Research-Autonomous-Vehicles_JR2023838?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_abdc56b4-76b

## Description

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for a Ph.D. research internship in autonomous vehicles.

The internship offers hands-on experience with one of NVIDIA's industry-leading autonomous vehicle teams.

**Responsibilities:**

- Design and implement cutting-edge techniques in vehicle autonomy.

- Collaborate with team members, teams, and external researchers.

- Transfer research to product groups to enable new products or types of products, including prototypes, patents, products, and publishing original research.

**Requirements:**

- Actively enrolled in a Ph.D. program in Computer Science, Electrical Engineering, or a related field.

- Anticipated graduation date must be clearly indicated on a resume or CV.

- Prior experience or knowledge in programming skills and technologies such as Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.).

- Strong research background with publications at top conferences.

- Excellent communication and collaboration skills.

- Experience with large-scale model training is a plus.

**Preferred areas of research:**

- Next-Generation AV Architectures

- Chain-of-Thought Reasoning

- Mixture-of-Experts

- Diffusion-LLMs

- Diffusion-based Trajectory Decoding

- Novel Policy Training Strategies

- Closed-loop Training

- Off-policy RL

- Online RL

- Enforcing Consistency

- Foundation and Multimodal Models

- Vision-language models

- Multimodal reasoning

- Spatial Multimodal Models

- Modality Alignment

- Model Scaling

- Synthetic data

- Inference Efficiency

- Inference Optimizations

- Token Representations

- Model Distillation

- Simulation and Behavior Modeling

- Digital Twins

- Scenario Generation

- World Models

- Behavior/Traffic Modeling

- End-to-End AV Systems

- Mapless driving

- World Representations

- Beyond imitation learning

- Safety-aware end-to-end models

- Perception and Representation Learning

- Multi-modal sensor fusion

- 2D/3D detection, segmentation, depth estimation, scene understanding, neural representations

- Safe and Trustworthy Autonomous Systems

- Principled robustness

- Model explainability

- Control Barrier Functions (CBFs)

- Verification and Validation of Safety-Critical AI Systems

- Trustworthy AI/ML for autonomy and robotics

- Data-Strategies for AI

- Benchmarking AV

**Benefits:**

- Hourly rate: 38 USD - 94 USD

- Intern benefits

## Skills

### Required
- Python
- C++
- CUDA
- Deep Learning Frameworks
- research
- communication
- collaboration

### Nice to have
- large-scale model training

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/NVIDIA-2027-Internships--PhD-Research-Autonomous-Vehicles_JR2023838?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)