Lead Research Engineer, Autonomous Flight & Control

The University of Texas at Austin; Austin (TX); Sur place; USD 120 000 - 150 000; Plein temps

Avantages offerts par ce poste

100% employer-paid basic medical

Retirement contributions

Paid vacation and sick time

Paid holidays

Résumé du poste

The University of Texas at Austin’s Oden Institute seeks a Research Engineer to advance autonomous systems and control. You will lead design and development of information-aware trajectory planning and control algorithms for autonomous aircraft within the CyPhER Forge program.

Contribute to a broader portfolio of robotics, optimization, and learning-based control methods while collaborating across disciplines and validating results on simulations and hardware.

Qualifications

• PhD in a relevant field or equivalent industry experience.
• Strong background in control, trajectory optimization, and ML.
• Experience with aircraft dynamics, flight control, or autonomous vehicle control.
• Experience developing large software projects (>10,000 LOC) in Python, C++, or similar.
• Excellent communication and collaboration skills.

Responsabilités

• Develop trajectory planning algorithms for autonomous aircraft.
• Design robust control strategies bridging models and multiphysics phenomena.
• Integrate trajectory planning with control for model discovery and uncertainty reduction.
• Develop and maintain large-scale software systems for autonomous systems.
• Collaborate with multidisciplinary teams to validate via simulation and hardware.
• Publish research findings at technical conferences.
• Contribute to program milestones including DARPA CyPhER Forge.

Connaissances

Control theory

Trajectory optimization

Machine learning

Python

C++

Flight dynamics

Team collaboration

Formation

PhD in Aerospace Engineering

Outils

ROS

Description du poste

The University of Texas at Austin’s Oden Institute seeks a Research Engineer to advance autonomous systems and control. You will lead design and development of information-aware trajectory planning and control algorithms for autonomous aircraft within the CyPhER Forge program.

Contribute to a broader portfolio of robotics, optimization, and learning-based control methods while collaborating across disciplines and validating results on simulations and hardware.