Research Engineer - Machine Learning for Autonomous Driving Behavior
Job Description
If hired, you will be our first research engineer 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.
You will conduct applied R&D and contribute software to Bosch autonomous driving platforms. You will also collaborate with UT Austin researchers on peer-reviewed research and associated publications. And you will work with us to identify projects that are a strong fit for our group.
We want to hear from you if you are adept at bridging between fundamental research results and specific applications of those results, can lead an R&D team on the core software development aspects of its work, enjoy collaborating and communicating about your work, and are comfortable moving between settings of fundamental research and applied R&D.
RESPONSIBILITIES
Qualifications
BASIC QUALIFICATIONS:
Graduate degree with a focus on robotic learning, reinforcement learning, learning from demonstration / behavioral cloning / imitation learning, or planning for navigation
PREFERRED QUALIFICATIONS:
PhD in one of the fields listed above
Strongly preferred: Excellent communication skills, both written and verbal
Strongly preferred: Expert in general software development within complex system architectures and varied toolsets
Strongly preferred: Adept at C++ or Python programming in the context of machine learning development
Strongly preferred: Past publication in related fields
Widely networked with other researchers in related fields
Experience designing and implementing deep learning algorithms for sequential decision-making
Industry R&D experience in a related field
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
Experience testing algorithms on real vehicles
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: