Reinforcement Learning for ADAS – Engineering Intern at Bosch Group

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

64.0

Posted On

26 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, Multimodal Transformers, Diffusion Models, NeRF/Gaussian Splatting, Video Generation, 3D Scene Understanding, Autonomous Driving, Behavior Modeling, Python, C++, OpenCV, Tensorflow, PyTorch, Math, Statistics

Industry

Software Development

Description

Company Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve. • Discover new directions: At Bosch, you will find your place. • Balance your life: At Bosch, your job matches your lifestyle. • Celebrate success: At Bosch, we celebrate you. • Be yourself: At Bosch, we value values. • Shape tomorrow: At Bosch, you change lives. 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, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), 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 As the Engineering Intern, you will explore advanced methods in E2E AI-based planning to address challenges in autonomous systems. A few of your responsibilities will include: 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 Currently enrolled and pursing a Masters or PhD program in Computer Science or related fields Hands-on experience on developing computer vision and deep learning algorithms with focus on at least two of the following areas: multimodal transformers, diffusion models, NeRF/Gaussian Splatting, video generation, 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. Minimum GPA of 3.0 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. Additional Information The U.S. base salary range for this intern position is $39.00 - $64.00. 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.* BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives · FIRST Robotics (For Inspiration and Recognition of Science and Technology) · AWIM (A World In Motion) Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

Responsibilities

As the Engineering Intern, you will explore advanced methods in E2E AI-based planning to address challenges in autonomous systems. Responsibilities include applying research results to real-world applications and integrating the resulting system/software into existing Bosch platforms.