Description
Autobrains is looking for a hands-on Senior Path Planning Algorithm Engineer to design and develop the core planning intelligence of our autonomy stack — responsible for generating safe, comfortable, and feasible driving paths in real-world environments.
This role is key to turning perception and world understanding into actionable motion, enabling robust and scalable autonomous driving for millions of vehicles.
Responsibilities
Design and develop Path Planning algorithms for L2+ up to Eyes-Off autonomy
Build planning components such as:
- path generation and refinement
- constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
- optimization-based planning and feasibility checks
Develop and improve planning modules integrated with our world model, digital twin, and edge-AI stack
Implement and optimize algorithms in C++ with real-time performance constraints
Work closely with perception, prediction, and control teams to define clean interfaces and ensure end-to-end robustness
Participate in architecture discussions, design reviews, and code reviews
Contribute to validation methodologies, scenario-based testing, and fleet-feedback loops
Analyze corner cases and improve robustness across diverse driving scenarios
Requirements
- 5+ years of experience in autonomous driving / robotics / motion planning / navigation / real-time systems
- Strong expertise in Path Planning and/or optimization-based planning methods
- Strong C++ skills (Python is a plus)
- Experience working with real-time systems and performance-critical code
- Strong problem-solving skills, end-to-end ownership, and ability to work independently
- Experience in automotive production environments