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Scene Understanding and GenAI for Autonomous Driving – Research Intern

Bosch USA
Sunnyvale, CA Intern
POSTED ON 2/1/2025
AVAILABLE BEFORE 3/2/2025
Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70-billion-euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions to enable inspiring UX for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.

The Computer Vision group is responsible for shaping the future user experience of Bosch products by developing cutting-edge technologies and prototype systems in the field of multimodal LLM, vision foundation models, autonomous driving, robotics, and mixed reality. Our expertise includes 3D perception, multimodal understanding, object detection, segmentation, tracking and pose estimation, visual localization, sensor fusion, reinforcement learning, planning, and adaptive robot control. We focus on developing innovative solutions to hard challenges in these domains, which are needed for development of intelligent and autonomous systems. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals, e.g. CVPR, ICCV, ICRA, IROS, RSS, ISMAR, ECCV, NeurIPS, ICLR, AAAI, and SIGGRAPH.

Job Description

  • Conduct advanced research and engineering in 3D perception and machine learning to address challenges in autonomous systems.
  • Apply research results to real-world applications with high quality implementation.
  • Integrate the resulting system/software into existing Bosch platform.
  • Summarize research findings in high-quality paper and/or patent submissions.

Qualifications

Basic Qualifications

  • Ph.D. student in Computer Science or related fields (Must be a current student or recent graduate – less than 1 year)
  • Hands-on experience on developing computer vision and deep learning algorithms with focus on at least two of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, object detection/segmentation, 3D scene understanding, autonomous driving, behavior modeling/prediction, SfM, voxel/BEV grid-based feature representation.
  • Solid python and/or C programming skills and proficient with libraries such as OpenCV, Tensorflow, and PyTorch.

Preferred Qualifications

  • Publication record in top venues including CVPR, ICCV, ICRA, ISMAR, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.
  • Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc.
  • Able to work independently, has strong research and problem-solving skills.
  • Strong background in math and statistics.
  • Good communication and teamwork skills.

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