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, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions 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 machine learning algorithms with focus on at least two of the following areas: autonomous driving, object detection/segmentation, 3D scene understanding, path predication & planning, localization, and sensor fusion.

　　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.

　　Familiar with SOTA vision and learning methods of self-supervised learning, ViT, GCN, NeRF, Diffusion, vision language models, and so on.

　　Familiar with vector/point-based input representations for learning

　　Familiar with BEV grid-based feature representation and end-to-end learning

　　Able to work independently, has strong research and problem-solving skills

　　Strong background in math and statistics

　　Good communication and teamwork skills

　　Additional Information

　　The U.S. base salary range for this intern position is $43.00-$66.00 per hour. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

　　By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

　　BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics)

　　FIRST Robotics (For Inspiration and Recognition of Science and Technology)

　　AWIM (A World In Motion)