Fellow, Machine Learning - Autonomy
MotionalSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Autonomous Vehicles, Artificial Intelligence, RoboticsIndustries
Requirements
- Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field
- Relevant research experience in the field of vehicle / robot autonomy
- Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles
- A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects
- Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus
- Knowledge of common machine learning frameworks such as PyTorch and Tensorflow
- Strong communication and interpersonal skills along with the ability to work in a dynamic, research-focused team
- Dedicated, upbeat and dynamic with excellent analytical ability; passionate and highly motivated about solving complex problems
Responsibilities
- Designing and implementing cutting-edge techniques in the field of vehicle autonomy
- Publishing your original research
- Collaborating with other research team members, a diverse set of internal product teams, and external researchers
- Transferring technology you've developed to relevant product groups
Skills
Deep Learning
Reinforcement Learning
Perception
Prediction
Planning
Control
Simulation
AI Verification
Safety-Critical Systems
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees