Intern in Automated Driving (Machine Learning)

Company Description

The Bosch Research and Technology Center North America, with locations in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts, is an affiliate of the global Bosch Group (), an organization generating over 70 billion euros in revenue, employing 400,000 people globally, offering a diverse range of products, with a history extending over 125 years. The Research and Technology Center North America (RTC-NA) dedicates its efforts to creating technologies and system solutions for various Bosch business sectors, focusing mainly on Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.
 

Presently, Bosch is developing numerous technologies related to driver's assistance and fully automated driving. The goal is to create software and algorithms for an autonomous driving system to foster improved urban traffic flow, augment road safety and generate critical components for the future of traffic.

Job Description

We are looking for someone to conduct in-depth engineering in 3D perception and machine learning to address challenges in automated driving. The selected candidate will have the chance to:

• Create and curate internal datasets.
• Adapt existing models trained utilising public datasets for internal data use.
• Perform large-scale data processing.
• Perform basic data mining.
• Evaluate and document model performance using various methods.

Qualifications

Required Qualifications:

• M.S. or Ph.D student in Computer Science or Engineering
• 1+ years of research and engineering experience for computer vision and machine learning algorithms (e.g. DNN, RNN, GNN, GAN, ViT, etc).
• 1+ year of experience in computer vision and deep learning focus on at least two of the following areas: object detection/segmentation, 3D scene understanding, autonomous driving, sensor fusion, state estimation, and structure from motion.
• Familiarity with automated driving software stack components (e.g. Perception, Localization, Object Fusion, Planning, Motion Control, etc).
• Programming experience in Python and C++, and hands-on experience with libraries such as .
• Demonstrated capability and willingness to learn new concepts quickly.
• Self-starter and self-motivated.

Desired Qualifications:

• Experience working with open-source autonomous driving datasets.
• Experience with geographic data (WGS84/UTM).
• Experience working with various sensor modalities, including cameras and LiDAR.
• Experience formulating deep learning frameworks and performing model optimization.

Additional Information

The base range for this internship position in the U.S. is $26.50 – $68.00. The specific pay within this range is determined by various factors, such as type of degree, work experience and job knowledge, complexity of the role, type of position, job location, among others. Further details regarding the specific salary range for this role will be provided by your Hiring Manager throughout the interview process.

We are committed to a diverse workforce by choice - EOE/Protected Veteran/Disabled.

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

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)