SwRI Structural Geology & Geomechanics
COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
SwRI Structural Geology & Geomechanics, San Antonio, Texas, United States, 78208
COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
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COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
10-01524
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Who We Are
The Robotic Autonomy Section designs and develops technologies for uncrewed ground and aerial vehicles (UGVs and UAVs), autonomous mobile robots (AMRs) for material handling and transit, and connected automated vehicles (CAVs) for global commercial and government clients.
Objectives Of This Role
Support ongoing research and development projects to improve safety and mobility in a variety of areas through the use of emerging technologies. Serve as a researcher and software developer on teams developing hardware and software solutions for technology areas including uncrewed ground vehicles (UGVs), autonomous mobile robots (AMRs), connected automated vehicles (CAVs), and uncrewed aerial systems (UAS). Develop, test, and deploy robotic/autonomy systems involving perception, localization, navigation, and/or control for vehicle systems with varying degrees of autonomy in both structured and unstructured environments. Develop novel concepts and technologies related to mobile robotic material handling in unstructured environments, multi-vehicle/multi-robot system coordination and cooperation, robotic platforms operating in unique environments/applications. Additional information about the type of work conducted can be found at: https://www.swri.org/markets/automotive-transportation/automotive/autonomous-vehicle-research-testing and https://robotics.swri.org
Daily And Monthly Responsibilities
Participate in all phases of development cycle, including requirements definition, hardware/software systems design, implementation, testing, and integration. Develop software systems to enable UGV, AMR, CAV, UAS, and other robotic applications. Support hardware/software integration, configuration, testing, and deployment of UGV, AMR, CAV, UAS and other robotic systems and applications in real-world settings. Initiate advanced research and development programs, interact with clients, make technical presentations, prepare technical reports. Regularly participate in planning and communication of technical tasks with project managers, technical leads, clients, and technical team.
Requirements
Requires a Bachelors, Masters or a PhD in Computer Engineering, Computer Science, Robotic Engineering, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or related field will be considered 0-3 years: BS candidates must have relevant academic coursework and project experience and/or internship experience. MS and PhD candidates must have relevant research experience. Experience with robotic systems, such as UGV, AMR, CAV, UAS, and/or other robotic platforms required. Strong software development skills and experience developing with C++ and Python in a Linux environment. Experience with ROS 2 or similar middleware. Ability to quickly troubleshoot and resolve issues, design and conduct diagnostic experiments, and interpret experimental results. Experience with design and development of software for safety critical systems. Familiarity with sensors, such as cameras and lidars. Ability to safely operate, drive, enter/exit vehicles quickly and safely, climb vehicle ladders, navigate around cables and crawl into vehicle interior spaces. Must have excellent written and oral communication skills and able to work well individually and as part of a team. A valid/clear driver's license is required.
Special Requirements
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
Job Locations: San Antonio, Texas
For more information about this division, visit the Intelligent Systems home page.
For benefits information at our San Antonio location, click here.
For benefits information at all other locations, click here.
An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status.
If you need assistance with completing the application, please Contact Us
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San Antonio, TX . COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
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Join to apply for the
COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
role at
SwRI Structural Geology & Geomechanics COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
4 weeks ago Be among the first 25 applicants Join to apply for the
COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
role at
SwRI Structural Geology & Geomechanics Currently logged in as [sign out]
Job Cart
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Your session will expire in 120 seconds.
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COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
10-01524
Email a friend
Who We Are
The Robotic Autonomy Section designs and develops technologies for uncrewed ground and aerial vehicles (UGVs and UAVs), autonomous mobile robots (AMRs) for material handling and transit, and connected automated vehicles (CAVs) for global commercial and government clients.
Objectives Of This Role
Support ongoing research and development projects to improve safety and mobility in a variety of areas through the use of emerging technologies. Serve as a researcher and software developer on teams developing hardware and software solutions for technology areas including uncrewed ground vehicles (UGVs), autonomous mobile robots (AMRs), connected automated vehicles (CAVs), and uncrewed aerial systems (UAS). Develop, test, and deploy robotic/autonomy systems involving perception, localization, navigation, and/or control for vehicle systems with varying degrees of autonomy in both structured and unstructured environments. Develop novel concepts and technologies related to mobile robotic material handling in unstructured environments, multi-vehicle/multi-robot system coordination and cooperation, robotic platforms operating in unique environments/applications. Additional information about the type of work conducted can be found at: https://www.swri.org/markets/automotive-transportation/automotive/autonomous-vehicle-research-testing and https://robotics.swri.org
Daily And Monthly Responsibilities
Participate in all phases of development cycle, including requirements definition, hardware/software systems design, implementation, testing, and integration. Develop software systems to enable UGV, AMR, CAV, UAS, and other robotic applications. Support hardware/software integration, configuration, testing, and deployment of UGV, AMR, CAV, UAS and other robotic systems and applications in real-world settings. Initiate advanced research and development programs, interact with clients, make technical presentations, prepare technical reports. Regularly participate in planning and communication of technical tasks with project managers, technical leads, clients, and technical team.
Requirements
Requires a Bachelors, Masters or a PhD in Computer Engineering, Computer Science, Robotic Engineering, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or related field will be considered 0-3 years: BS candidates must have relevant academic coursework and project experience and/or internship experience. MS and PhD candidates must have relevant research experience. Experience with robotic systems, such as UGV, AMR, CAV, UAS, and/or other robotic platforms required. Strong software development skills and experience developing with C++ and Python in a Linux environment. Experience with ROS 2 or similar middleware. Ability to quickly troubleshoot and resolve issues, design and conduct diagnostic experiments, and interpret experimental results. Experience with design and development of software for safety critical systems. Familiarity with sensors, such as cameras and lidars. Ability to safely operate, drive, enter/exit vehicles quickly and safely, climb vehicle ladders, navigate around cables and crawl into vehicle interior spaces. Must have excellent written and oral communication skills and able to work well individually and as part of a team. A valid/clear driver's license is required.
Special Requirements
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
Job Locations: San Antonio, Texas
For more information about this division, visit the Intelligent Systems home page.
For benefits information at our San Antonio location, click here.
For benefits information at all other locations, click here.
An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status.
If you need assistance with completing the application, please Contact Us
Back To Top
Label Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Research Referrals increase your chances of interviewing at SwRI Structural Geology & Geomechanics by 2x Get notified about new Computer Scientist jobs in
San Antonio, TX . COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
Medical Laboratory Scientist - Senior (Flow Cytometry) (Days, Full Time)
Medical Laboratory Scientist - Intermediate (Microbiology)
Medical Lab Scientist - Senior (Core Lab)
Data Scientist / Cloud Software Engineer
Senior Software Engineer/Developer – San Antonio
COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Robotic Autonomy
San Antonio, TX $104,650.00-$189,175.00 3 weeks ago San Antonio, TX $100,000.00-$165,000.00 2 weeks ago 9138 - Senior Software Developer (Remote)
San Antonio, TX $57,540.28-$126,588.61 1 month ago San Antonio, TX $112,446.44-$149,928.59 1 month ago Data Scientist, Air Education & Training Command (Active Secret Clearance)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr