Research Scientist - Machine Learning for Autonomous Driving Behavior
- University of Texas at Austin Campus, Austin, TX, United States
- Legal Entity: Robert Bosch LLC
Robert Bosch LLC is an international, non-profit-owned company with ~$85B revenue per year. Many know it best for its appliances and power tools, but Bosch also happens to be the largest automotive supplier in the world, with its vehicle subsystems in nearly 100% of vehicles being made today. Bosch offers just about every subsystem that goes into a car today, from windshield wipers to engine control units. It already sells or is developing every sensor and in-car computer required for an autonomous vehicle. Bosch has advanced projects at various levels of autonomy, from driverless Level 4 down to driver assistance products that are already in production vehicles, such as automatic emergency braking and lane-keep assist.
The Austin office offers an R&D experience that's heavy on the R. We have the flexibility to apply machine learning to existing driver assistance products that are already saving lives on the road, to apply it to Bosch's full autonomy projects, and to conduct peer-reviewed research collaborations with UT Austin and other top academic institutions that focus on any level of autonomous driving systems.
We pay competitive salaries in a vibrant city that's comparatively affordable to live in. *We are dedicated to creating a diverse Austin team and a family-friendly work culture.*
In short, we find and work on high-impact autonomous driving problems at Bosch that have not necessarily been viewed yet through the lens of a machine learning researcher.
If hired, you will be our first research scientist 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 collaborate with UT Austin researchers on peer-reviewed research and associated publications. You will also contribute software to Bosch autonomous driving platforms. 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 have a strong publishing record 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.
Design and conduct research projects involving the usage of machine learning to improve state-of-the-art autonomous driving and driver assistance systems. Research will span fundamental topics---where autonomous driving may only be one application of your work---and applied topics.
Publish and present peer-reviewed research
Develop and evaluate algorithms that can be applied to existing Bosch autonomous driving projects
Become part of the UT Austin Computer Science community, attending research group meetings and lectures as well as discussing ideas with university colleagues
PhD with a focus on robotic learning, reinforcement learning, learning from demonstration / behavioral cloning / imitation learning, or planning for navigation
Strongly preferred: Excellent communication skills, both written and verbal
Strongly preferred: Strong publishing record in related fields
Strongly preferred: Expertise in C++ or Python
Strongly preferred: Strong knowledge of general software development
Strongly preferred: Working knowledge of contributing software to complex system architectures
Widely networked with other researchers in related fields
Experience designing and implementing deep learning algorithms for sequential decision-making
Postdoctoral research and/or 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
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)