Distributed Embodied AI Systems - Intern

Bosch Group • Sunnyvale, CA

13d • $39 - $64

About The Position

As the Distributed Embodied AI Systems intern, you will perform research on future prediction for latency mitigation in distributed embodied AI systems.

Requirements

• Ph.D. student in Computer Science, Robotics or related fields (Must be a current student)
• Experience training and using deep neural network models.
• Experience in cloud, networking, or computer systems.
• Solid Python skills and proficient with libraries such as MMCV and PyTorch.
• Minimum GPA of 3.0

Nice To Haves

• Publication record in top venues including CVPR, ICCV, ECCV, ICRA and IROS
• Focus on future prediction for video or point clouds.
• Focus on various application-level strategies for latency mitigation.
• Extensive skill running experiments in network simulations, CARLA, and real setups.
• Able to work independently, has strong research and problem-solving skills
• Good communication and teamwork skills

Responsibilities

• Research existing approaches to future prediction for the purposes of latency mitigation.
• Test ideas that fit our use-case of offloading perception and planning to the cloud. In particular, the evaluated approach needs to handle short but variable latencies, error in latency prediction, and packet drops.
• Report experimental results and prepare a draft to a high-quality conference.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees