Underwater Autonomy Engineer - Real-Time Perception

Roboticsconnected; United States; On-site; USD 89,000 - 120,000; Full time

Benefits offered by this job

Employer-paid medical coverage

Retirement contributions

Paid vacation and sick time

Paid holidays

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, executed fully underwater and transitioned to Navy users.

You will drive the full development cycle from initial implementation to ocean testing, collaborating on large projects and documenting work for knowledge transfer.

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 (e.g., ROS, autonomy stacks, ML).
• 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.
• Other related functions as assigned.

Skills

Python/C++ programming

Robotics/Autonomy experience

Unix/Linux proficiency

Education

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

Advanced degree in Engineering, Math or Applied Sciences

Tools

ROS

Autonomy stacks

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, executed fully underwater and transitioned to Navy users.

You will drive the full development cycle from initial implementation to ocean testing, collaborating on large projects and documenting work for knowledge transfer.