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.

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

• 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