Robotics and Autonomy Engineer (ES)

Robotics And Autonomy Engineer (ES)

Develop autonomy and perception algorithms for Uncrewed Underwater Vehicles to be executed in real-time, fully underwater, and for real world applications in the Advanced Technology Laboratory (ATL). Selected applicant will participate in the development cycle from initial implementation, to testing in the ocean, harbors and rivers, and finally transitioning those capabilities to Navy Sailors.

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
• Develop system concepts and proposals as well as coordinate project execution with development staff
• Collaborate on large projects with a high degree of ownership
• Document your work to support knowledge transfer
• Other related functions as assigned

Required Qualifications

• Bachelor's degree in Robotics, Engineering, Computer Science, Math, or a related field
• Experience with robotics or autonomous vehicles through coursework, internships, personal projects, or research. (eg. ROS, autonomy stacks, ML)
• Three years of relevant experience of robotics algorithm development
• Strong programming skills in Python and/or C/C++ (object-oriented)
• Comfortable working with Unix/Linux

Preferred Qualifications

• Advanced degree in Engineering, Math or Applied Sciences with emphasis in autonomous vehicles, robotics, learning systems, data analysis, or related field.
• Eligibility for immediate access to classified information.
• Five or more years of related experience.
• Cumulative GPA of 3.0.

Salary Range

$104,000-$174,000+/negotiable depending on qualifications.

Working Conditions

• 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

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.

Tagged as: Life Sciences