Robotics and Autonomous System Designer Engineering Scientist

Position

Robotics and Autonomous System Designer Engineering Scientist

Applied Research Laboratories

PICKLE RESEARCH CAMPUS

Weekly Scheduled

Hours:

40
FLSA Status:
Exempt
Earliest

Start Date:

Immediately
Position Duration:
Expected to Continue

As a Robotics and Autonomous System Designer 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.
• Plan and coordinate 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.
• External Coordination with project performers from other organizations.
• Develop system concepts and proposals as well as coordinate project execution with development staff.
• Other related functions as needed.

• Bachelor's degree in Robotics, Engineering, Computer Science, Math or other Applied Sciences.
• Three years of related experience.
• 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.
• Cumulative GPA of 3.0.

An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.

Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.

Visit our website ((Use the "Apply for this Job" box below).) for additional information about Applied Research Laboratories.

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

UT Austin offers a competitive benefits package that includes:
Please visit our Human Resources (HR) website to learn more about the total benefits offered.

$104,000-$174,000+/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

You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi‑select additional files. Before submitting your online…