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Underwater Robot Autonomy Designer (ES) R23358

Please Note: In order to be considered for this position, you MUST be a US Citizen and apply through the ARL Workday website.



Job Details:

Purpose

As a robotics and autonomous system designer in the Advanced Technology Laboratory (ATL), you will design, implement and test algorithms for autonomous decision making on an unmanned underwater vehicle. Use sensor data from sonars operating in complex environments to aid obstacle avoidance algorithms, multi-agent decision making, and dynamic mission preplanning. Field test algorithms in ocean, littoral, harbor, and riverine environments.

Responsibilities


  • Behavior algorithm development
  • Software implementation
  • Analysis
  • Documentation
  • Participation in presentations, proposals, plans and schedules.
  • Local in-water testing
  • Travel for in-water testing
  • Other related functions as assigned.

Required Qualifications


  • Bachelor's degree in engineering, math, computer science or applied sciences.
  • Three years of experience related to the development and application of robotics, autonomy, or machine learning algorithms.
  • Experience with implementation and testing of data processing algorithms.
  • Demonstrated ability using object oriented programming languages. 
  • Experience with analysis software packages such as Matlab or Python, and general programming languages, such as C/C++ or Python.
  • Experience with Unix/Linux operating systems. Demonstrated knowledge in the following areas: robotics, autonomy engine development, learning systems, and data analysis.
  • Evidence of skills in the following areas: working with new technologies, being highly organized, planning and coordinating multiple tasks, effective time management, attention to detail, effective problem solving skills, using excellent judgment, working independently with sensitive and confidential information and maintaining a professional demeanor.
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.

Preferred Qualifications


  • Advanced degree in engineering, math, or applied sciences with emphasis in autonomous vehicles, robotics, learning systems, data analysis.
  • Demonstrated knowledge in the application of robotics, field testing, autonomy engine design, autonomous control theory, and algorithm development.
  • Cumulative GPA of 3.0

General Notes

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 (www.arlut.utexas.edu) 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.

Salary Range

$93,000

Working Conditions


  • May work around standard office conditions. 
  • Repetitive use of a keyboard at a workstation.
  • Use of manual dexterity.
  • Some field testing, including operating the vehicle from a boat.
  • Some weekend, evening and holiday work.
  • Possible intrastate/interstate travel.

Required Materials


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