Research Engineer, Autonomous Systems & Intelligent Control

University of Texas; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical benefits

Paid time off

Paid holidays

Job summary

University of Texas at Austin's Oden Institute is seeking a Research Engineer to design and implement information-aware trajectory planning and control algorithms for autonomous aircraft systems. You will contribute to multiple autonomous systems projects spanning robotics, optimization, and learning-based control methods.

The role involves developing robust control strategies, integrating planning with control, and collaborating with multidisciplinary teams to validate algorithms through

Qualifications

• PhD in Aerospace Engineering, Control Systems, Robotics, Computer Science, or related field (or equivalent industry experience).
• Strong background in control, trajectory optimization, and machine learning.
• Experience with aircraft dynamics, flight control systems, and/or autonomous vehicle control.
• Demonstrated experience developing large software projects (>10,000 lines of code) in Python, C++, or similar.

Responsibilities

• Develop and implement trajectory planning algorithms for autonomous aircraft that optimize information gathering while respecting vehicle dynamics and safety constraints.
• Design robust control strategies bridging idealized models and real-world multiphysics phenomena.
• Integrate trajectory planning with control design to enable model discovery and uncertainty reduction.
• Develop and maintain large-scale software systems for autonomous systems research and deployment.

Education

PhD in a related field

Tools

Python

C++

ROS

Git

Job description

University of Texas at Austin's Oden Institute is seeking a Research Engineer to design and implement information-aware trajectory planning and control algorithms for autonomous aircraft systems. You will contribute to multiple autonomous systems projects spanning robotics, optimization, and learning-based control methods.

The role involves developing robust control strategies, integrating planning with control, and collaborating with multidisciplinary teams to validate algorithms through