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.