Underwater Robotics & Autonomy Engineer

The University of Texas at Austin; Austin (TX); Hybrid; USD 89,000 - 120,000; Full time

Job summary

The University of Texas at Austin’s Applied Research Laboratories seeks a Robotics and Autonomy Engineer to develop real-time autonomy and perception algorithms for uncrewed underwater vehicles. You will work on sonar-based obstacle avoidance, multi-agent decision making, and dynamic replanning in challenging underwater environments, including testing in lakes, harbors, and rivers.

The role involves implementing algorithms, validating them in real-world conditions, and collaborating on large

Qualifications

• Bachelor’s degree in Robotics, Engineering, Computer Science, Math, or a related field
• Experience with robotics or autonomous vehicles through coursework, internships, personal projects, or research
• Strong programming skills in Python and/or C/C++ (object-oriented)
• Comfortable working with Unix/Linux

Responsibilities

• Develop autonomy algorithms that use sonar data for obstacle avoidance, aid multi-agent decision making, and dynamic replanning in complex underwater environments
• Design perception algorithms that increase vehicle situational awareness
• Analyze sonar and navigation data to identify algorithm improvements
• Test algorithms in water including local lake testing and field tests in the ocean, harbors, or rivers
• Collaboration on large projects with a high degree of ownership
• Document work to support knowledge transfer

Skills

ROS

Python/C++

Unix/Linux

Autonomy stacks

ML

Education

Bachelor’s degree in Robotics, Engineering, Computer Science, Math, or related field

Tools

ROS

Autonomy stacks

ML

Job description

The University of Texas at Austin’s Applied Research Laboratories seeks a Robotics and Autonomy Engineer to develop real-time autonomy and perception algorithms for uncrewed underwater vehicles. You will work on sonar-based obstacle avoidance, multi-agent decision making, and dynamic replanning in challenging underwater environments, including testing in lakes, harbors, and rivers.

The role involves implementing algorithms, validating them in real-world conditions, and collaborating on large