Job Description

If selected, you will be part of our team at the new Bosch Austin site. The site is embedded in the University of Texas at Austin's Computer Science Department, with offices in the CS Department's beautiful new Gates Dell Complex.

As part of your application process, we will together find a research project for you to work on during the period of the internship. Depending upon your interests and experience, your research project could either be collaborative research towards a peer-reviewed publication or applied R&D that contributes to Bosch's autonomous driving projects.

We want to hear from you if you have begun publishing in reinforcement learning or learning from demonstration, enjoy collaborating and communicating about your work, and are comfortable moving between settings of fundamental research and applied R&D.

RESPONSIBILITIES

• One or more of the following: (1) Collaborate on research projects involving the usage of machine learning to improve the decision making of state-of-the-art autonomous driving and driver assistance systems. Research activities will span collaborating on fundamental topics---where autonomous driving may only be one application of your work---and applied topics. (2) Contribute to the development, implementation, or evaluation of algorithms that can be applied to existing Bosch autonomous driving projects, including adapting research code to be application compatible. (3) Support fundamental research project(s) through software design and programming

• Contribute to the writing and publication of peer-reviewed research

Become part of the UT Austin Computer Science community, attending research group meetings and lectures as well as discussing ideas with university colleagues

Qualifications

BASIC QUALIFICATIONS:

• Currently pursuing a degree with a focus on robotic learning, reinforcement learning, learning from demonstration / behavioral cloning / imitation learning, or planning for navigation

• Must be currently enrolled in an accredited university

• Pursuing a Masters degree with at least one semester completed

• Graduate Student only

• Minimum of overall GPA of at least 3.0

• Must be a minimum of 18 years of age

• PREFERRED QUALIFICATIONS:

• Be pursuing a graduate degree in one of the fields listed above

• Strongly preferred: Excellent communication skills, both written and verbal

• Strongly preferred: Adept at C++ or Python programming in the context of machine learning development

• Strongly preferred: Past publication in related fields

• Expert in general software development within complex system architectures and varied toolsets

• Experience designing and implementing deep learning algorithms for sequential decision-making

• Knowledge of common automated-driving algorithms, including algorithms for perception and behavior generation

• Knowledge of driver assistance technologies

• More general expertise in automotive systems: experience with vehicle and system test-release procedures in automotive or related industries; experience in embedded automotive systems; and understanding of vehicle architecture and vehicle interfaces

Additional Information

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

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)