What are the responsibilities and job description for the Scene Understanding for Autonomous Mobility position at Honda Research Institute USA, Inc.?
Job Number: P25F08
Honda Research Institute USA (HRI-US) is seeking a highly motivated Research Scientist to contribute scene understanding technologies for autonomous mobility. A successful candidate will focus on the research and development of scene understanding and perception algorithms and will have experience with one or more of the following: social cue recognition, semantic segmentation, action recognition, and SLAM. The ideal candidate combines strong research capabilities with practical experience deploying models in real-world systems.
Mountain View, CA
Key Responsibilities
Honda Research Institute USA (HRI-US) is seeking a highly motivated Research Scientist to contribute scene understanding technologies for autonomous mobility. A successful candidate will focus on the research and development of scene understanding and perception algorithms and will have experience with one or more of the following: social cue recognition, semantic segmentation, action recognition, and SLAM. The ideal candidate combines strong research capabilities with practical experience deploying models in real-world systems.
Mountain View, CA
Key Responsibilities
- Research on cutting-edge scene understanding algorithms using multimodal sensor data (e.g., camera, LiDAR).
- Develop and implement machine learning and deep learning models for behavior and intent prediction, social interation understanding and important agent identification.
- Design and implement deep learning algorithms to represent semantic information as quantitative information and vice versa.
- Publish scholarly articles to top-tier conferences and journals in robotics, computer vision, and machine learning.
- Ability to analyze existing perception software stack and implement improvements on physical systems.
- Collaborate with a dynamic team of researchers and engineers to integrate the algorithms with motion planning and controls.
- PhD in computer science, robotics, or a related field
- 2 years of experience with machine learning and deep learning
- Experience with frameworks such as PyTorch or TensorFlow
- Strong programming skills in Python or C
- Experience with training, testing and fine tuning machine learning algorithms
- Experience with quantization, distillation, and other methods for improving runtime
- Experience with LLMs and Foundation models
- Experience in autonomous driving, robotics, or intelligent systems
- Familiarity with ROS and traffic simulators (e.g., Carla, Carmaker)
- Experience with developing end-to-end systems
- Experience with deploying models on a physical (robotic) platform
- Experience with optimization solvers