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
- Help 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
Minimum Qualifications:
- Bachelor’s or higher degree in Physics, Computer Science, Electrical Engineering, Mechanical Engineering or similar
- B.S with at least 3 years of prior experience, M.S. with at least 1 year of prior experience, in Engineering, Computer Science, Physics, Robotics, Mechanical Engineering, Electrical Engineering or a related field
- Proficient programming skills in Python, with experience in ML frameworks such as PyTorch and TensorFlow
- Good understanding of machine learning fundamentals. Ability to keep up with the bleeding edge of research in the field, understand its ramifications, and immediately apply it to the betterment of our products.
- Proficient C++ programming expertise
- 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
- 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
- Demonstrate excellent communication, organizational, critical thinking, problem-solving, and analytical skills, effectively engaging with both technical and non-technical audiences.
- Valid CA Driver’s License
Preferred Qualifications:
- 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 machine
- Experience with simulation environments
- Excellent communication skills
- System integration and software architecture skills
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