Robotics and Autonomous System Engineering Associate

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Weekly Scheduled

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Job Details:

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.

Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks simultaneously. Regular and punctual attendance in the workplace is required.

US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

• 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.

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.

UT Austin offers a competitive benefits package that includes:

* 100% employer-paid basic medical coverage

* Retirement contributions

* Paid vacation and sick time

* Paid holidays
Please visit our Human Resources (HR) website to learn more about the total benefits offered.

$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

Important
for applicants who are NOT current university employees or contingent workers: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 job application, ensure that

ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand…