Staff Software Engineer, Parking (Behavior and Trajectory Planning)

Job Responsibilities:Perform advanced engineering and development for series production of real-time motion and trajectory planning algorithms in environments with dynamic obstacles for a safe and comfortable motion of self-driving cars.Develop robust real-time algorithms in context of situation analysis, decision making, path planning, behavior planning, motion planning, and trajectory optimizations for autonomous parking systems.Optimize, test, and validate the developed algorithms and software in both simulated and real-world environments to improve the availability, accuracy, and robustness of parking features, and to ensure suitability for end-customers in production vehicles without a safety driver.Maintain and document code to keep colleagues up to date with the quickly evolving software.Investigate planning concepts to ensure our vehicles can cope with all real-world parking and low-speed driving situations, and transfer the developed product innovations to future Mercedes-Benz vehicles.Provide technical guidance and leadership to the team, ensuring alignment with project goals and objectives. Set technical direction, define best practices, and foster a culture of innovation and excellence.Minimum Qualifications:B.S with at least 10 years of prior experience, M.S. with at least 8 years of prior experience, or Ph.D. (preferred) with at least 5 years of prior experience in Engineering, Computer Science, Physics, Robotics, or a related field.Knowledge of search-based algorithms (A*, RRT, etc.).Knowledge of trajectory planning concepts and algorithms (lattice planner, sampling-based trajectory planning, etc.).Knowledge of robotics algorithms such as coordinate system transformation, kinematics, and dynamics.Excellent C++ programming expertise.Knowledge of Python programming language.Proven ability to multitask and deliver on challenging software development tasks.Experience with source code management, unit testing, code review, and issue tracking systems.Knowledge of Linux and development on Linux systems.Capability to read and implement the latest approaches in trajectory planning and autonomous parking systems in general.Skills in the field of software architecture and software design (UML, state charts, etc.).Valid US Driver's License.Preferred Qualifications:Excellent expertise in Python programming.Excellent expertise in robotics real-time trajectory planning in dynamic environments.Experience working independently in a large software setting.Experience working with robot and/or automotive hardware.Experience with simulation environments.Excellent communication skills.Experience with mentoring and developing junior members of a team.System integration and software architecture skills.

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