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Robotics and Autonomous System Designer Engineering Scientist

The University of Texas at Austin

$104,000 - $174,000
Oct 16, 2025
Austin, TX, US
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Applied Research Laboratories (ARL) at UT Austin is looking for a Robotics and Autonomous System Designer Engineering Scientist to design, implement, and test algorithms for autonomous decision-making on Uncrewed Underwater Vehicles (UUVs) for the Advanced Technology Laboratory (ATL). This role aims to enhance the capabilities of UUVs in complex environments through advanced algorithms.

Requirements

  • Demonstrated ability related to the development and application of robotics, autonomy or machine learning algorithms.
  • Demonstrated ability with implementation and testing of data processing algorithms.
  • Demonstrated ability using object-oriented programming languages.
  • Demonstrated ability with analysis software packages such as Matlab or Python and general programming languages such as C/C++ or Python.
  • Familiarity with Unix/Linux operating systems.
  • Advanced degree in Engineering, Math or Applied Sciences with emphasis in autonomous vehicles, robotics, learning systems, data analysis.
  • Three or more years of related experience.

Responsibilities

  • Identify, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking and sorties.
  • Design target recognition algorithms for finding objects in the environment and increasing situational awareness.
  • Conduct data analysis across a range of acoustic systems, identifying anomalies and opportunities for improvement.
  • Local in-water testing of generated algorithms, behaviors and capabilities.
  • Plan and coordinate field tests for algorithms in ocean, littoral, harbor and riverine environments.
  • Document work for knowledge transfer, consistency and efficiency.
  • Develop system concepts and proposals as well as coordinate project execution with development staff.

Other

  • Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment.
  • The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks simultaneously.
  • Regular and punctual attendance in the workplace is required.
  • US Citizen.
  • Travel in support of data collection, system evaluation testing and project meetings.