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 algorithm (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
• Excellent understanding of machine learning
• Comfortable with deep learning frameworks, e.g., Pytorch, Tensorflow
• Proven ability to multitask and deliver on challenging software development tasks
• Experience with source code management, unit test, code review, and issue tracking systems
• Knowledge of Linux and development on Linux systems
• Capability to read and implement 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
• Hands-on experience of training and deploying DNNs/foundation models