Senior Learning-Based Motion Planning Engineer

Halian; Abu Dhabi; On-site; AED 120,000 - 150,000; Full time

Job summary

Halian is seeking a technical leader in Abu Dhabi for a role focused on learning-based approaches for motion planning in autonomous systems. The candidate will own the technical roadmap and ensure innovative, practical solutions are delivered.

The ideal applicant holds 6+ years of experience and possesses proficiency in C++ and Python. Responsibilities include model development, system integration, and evaluation to improve planning techniques in real-world scenarios.

Qualifications

• 6+ years of experience in motion planning for autonomous systems or mobile robotics.
• Demonstrated experience in deploying learning-based planning solutions in real-world environments.
• Strong understanding of classical planning approaches including MPC and sampling-based methods.

Responsibilities

• Define and execute a technical roadmap for learning-based planning.
• Design, train, and refine learning-based planning models.
• Integrate learning-based planners into existing control architectures.
• Define data needs for training and evaluation.
• Develop comprehensive evaluation frameworks to assess learned planners.
• Lead the full experimentation loop for continuous improvement.
• Contribute to hybrid systems that effectively combine learning-based and traditional techniques.

Skills

C++

Python

Motion planning

Machine learning

ROS

Tools

PyTorch

Job description

Halian is seeking a technical leader in Abu Dhabi for a role focused on learning-based approaches for motion planning in autonomous systems. The candidate will own the technical roadmap and ensure innovative, practical solutions are delivered.

The ideal applicant holds 6+ years of experience and possesses proficiency in C++ and Python. Responsibilities include model development, system integration, and evaluation to improve planning techniques in real-world scenarios.