Underwater Robotics Autonomy Engineer (Real-Time AI)

The University of Texas at Austin; United States; On-site; USD 88,000 - 120,000; Full time

Benefits offered by this job

100% employer-paid basic medical

Retirement contributions

Paid vacation and sick time

Paid holidays

Job summary

The University of Texas at Austin seeks a Robotics and Autonomy Engineer to develop real-time autonomy and perception algorithms for Uncrewed Underwater Vehicles. You will join ATL in a full-cycle role from implementation to ocean testing and transition to Navy personnel.

Requirements include a bachelor’s degree in a relevant field, experience with ROS or autonomy stacks, strong Python/C++ skills, and Unix/Linux proficiency. U.S. citizenship and eligibility for security clearance are required.

Qualifications

• Bachelor’s degree in Robotics, Engineering, Computer Science, Math, or 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.
• US Citizen; eligible for security clearance.

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.
• Collaborate on large projects with a high degree of ownership.
• Document work to support knowledge transfer.

Skills

Python

C/C++

ROS

Autonomy stacks

ML

Unix/Linux

US Citizenship

Education

Bachelor's degree in Robotics/Engineering/CS/Math

Advanced degree in Engineering/Math/Applied Sciences

Tools

ROS

Job description

The University of Texas at Austin seeks a Robotics and Autonomy Engineer to develop real-time autonomy and perception algorithms for Uncrewed Underwater Vehicles. You will join ATL in a full-cycle role from implementation to ocean testing and transition to Navy personnel.

Requirements include a bachelor’s degree in a relevant field, experience with ROS or autonomy stacks, strong Python/C++ skills, and Unix/Linux proficiency. U.S. citizenship and eligibility for security clearance are required.