Robotics and Autonomous System Engineering Associate

Overview

As a Robotics and Autonomous System Engineer you will design, implement and test algorithms for autonomous decision making on Uncrewed Underwater Vehicles (UUVs) for the Advanced Technology Laboratory (ATL), at ARL.

• 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.
• Aid field tests for algorithms in ocean, littoral, harbor and riverine environments.
• Document work for knowledge transfer, consistency and efficiency.
• Travel in support of data collection, system evaluation testing and project meetings.
• Other related functions as needed.

• Bachelor's degree in Robotics, engineering, Computer Science, math or other applied sciences.
• 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.
• Related experience.
• Cumulative GPA of 3.0.

• 100% employer‑paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays

$88,500-$120,000+/negotiable depending on qualifications

• Standard office conditions.
• Repetitive use of a keyboard at a workstation.
• Use of manual dexterity.
• Some weekend, evening and holiday work.
• Possible interstate/intrastate travel.

• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor.
• Letter of interest.
• Unofficial college transcripts.

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.