Autobrains

Senior Path Planning Algorithm Engineer

Munich
C++ Python
Description

Senior Path Planning Algo Engineer

Location: Munich (DE)

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:
  1. path generation and refinement
  2. constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
  3. 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

Attributes

In the first two months, you’ll

Autobrains
Autobrains

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