<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>2b4c0da7-e8f</externalid>
      <Title>Staff Engineer, G&amp;C</Title>
      <Description><![CDATA[<p>As a Guidance and Controls engineer, you will be responsible for creating and maintaining all of control and autonomy algorithms within the XBAT code base. This includes algorithm development, unit tests, component tests, flight software qualification and flight test support. You will also be responsible for helping update and validate the truth models as required.</p>
<p>This role requires a minimum of 7 years of related experience with a Bachelor&#39;s degree, or 3 years and a Master&#39;s degree, or a PhD with 2 year experience, or equivalent experience. You should have a proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.</p>
<p>Preferred qualifications include familiarity with continuous integration / delivery and test-driven development, and experience working with robotics and/or control systems, specifically unmanned aerial systems.</p>
<p>The salary for this role is $180,000 - $280,000 a year, with a bonus, benefits, and equity included in the offer package.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$180,000 - $280,000 a year</Salaryrange>
      <Skills>algorithm development, unit tests, component tests, flight software qualification, flight test support, continuous integration / delivery, test-driven development, robotics, control systems, unmanned aerial systems</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed defence technology company founded in 2015, with a mission to protect service members and civilians with intelligent systems.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/7d210135-6de0-4433-bd46-198035378bb8</Applyto>
      <Location>Dallas</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>c174eeee-910</externalid>
      <Title>Staff Engineer, Software - Autonomous Aircraft Integration</Title>
      <Description><![CDATA[<p>This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. As a Staff Engineer, Software - Autonomous Aircraft Integration, you will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.</p>
<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&amp;D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li><strong>System Integration &amp; Deployment</strong> , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.</li>
</ul>
<ul>
<li><strong>Pre-flight Preparation</strong> , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.</li>
</ul>
<ul>
<li><strong>On-site Flight Test Support</strong> , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.</li>
</ul>
<ul>
<li><strong>Hardware/Software Debugging</strong> , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.</li>
</ul>
<ul>
<li><strong>Flight Data Capture &amp; Analysis</strong> , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviours and identify improvements.</li>
</ul>
<ul>
<li><strong>Collaboration Across Teams</strong> , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.</li>
</ul>
<ul>
<li><strong>Continuous Improvement</strong> , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.</li>
</ul>
<ul>
<li><strong>Support Certification and Compliance</strong> , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.</li>
</ul>
<ul>
<li><strong>Travel Requirement</strong>– Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>
</ul>
<ul>
<li>Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience</li>
</ul>
<ul>
<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)</li>
</ul>
<ul>
<li>Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics</li>
</ul>
<ul>
<li>Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)</li>
</ul>
<ul>
<li>Hands-on experience supporting flight demos or live exercises</li>
</ul>
<ul>
<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation</li>
</ul>
<ul>
<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance</li>
</ul>
<ul>
<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment</li>
</ul>
<ul>
<li>Ability to obtain a SECRET clearance</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Direct experience supporting unmanned aerial systems or similar flight test campaigns</li>
</ul>
<ul>
<li>Familiarity with autonomy stacks, flight control systems, or GNC pipelines</li>
</ul>
<ul>
<li>Competence in sensor integration, electronics debugging, or avionics bring-up</li>
</ul>
<ul>
<li>Proficiency in developing automation tools for system testing, logging, and data parsing</li>
</ul>
<ul>
<li>Comfortable interfacing with DoD stakeholders during field events or technical reviews</li>
</ul>
<ul>
<li>Experience with UCI and OMS Standards</li>
</ul>
<p>$182,720 - $274,080 a year</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$182,720 - $274,080 a year</Salaryrange>
      <Skills>C++, Python, Real-time operating systems (RTOS), Linux-based development, Embedded systems, Shell scripting, System diagnostics, Sensor integration, Sensor fusion, Middleware frameworks (e.g., ROS, DDS), Simulation tools and environments (e.g., AFSIM, NGTS), Direct experience supporting unmanned aerial systems or similar flight test campaigns, Familiarity with autonomy stacks, flight control systems, or GNC pipelines, Competence in sensor integration, electronics debugging, or avionics bring-up, Proficiency in developing automation tools for system testing, logging, and data parsing, Comfortable interfacing with DoD stakeholders during field events or technical reviews, Experience with UCI and OMS Standards</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015, developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/6265ee65-8136-41b5-9279-97f9a4b1d2f6</Applyto>
      <Location>Washington, DC / Boston, MA / San Diego, California</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>d29c97ab-a9a</externalid>
      <Title>Senior Engineer, Software - Autonomous Aircraft Integration</Title>
      <Description><![CDATA[<p>This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. As a Senior Engineer, Software - Autonomous Aircraft Integration, you will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.</p>
<p>The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.</p>
<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&amp;D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>System Integration &amp; Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.</li>
</ul>
<ul>
<li>Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.</li>
</ul>
<ul>
<li>On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.</li>
</ul>
<ul>
<li>Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.</li>
</ul>
<ul>
<li>Flight Data Capture &amp; Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.</li>
</ul>
<ul>
<li>Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.</li>
</ul>
<ul>
<li>Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.</li>
</ul>
<ul>
<li>Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.</li>
</ul>
<ul>
<li>Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>
</ul>
<ul>
<li>Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience</li>
</ul>
<ul>
<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)</li>
</ul>
<ul>
<li>Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics</li>
</ul>
<ul>
<li>Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)</li>
</ul>
<ul>
<li>Hands-on experience supporting flight demos or live exercises</li>
</ul>
<ul>
<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation</li>
</ul>
<ul>
<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance</li>
</ul>
<ul>
<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment</li>
</ul>
<ul>
<li>Ability to obtain a SECRET clearance</li>
</ul>
<p><strong>Preferred Qualifications:</strong></p>
<ul>
<li>Direct experience supporting unmanned aerial systems or similar flight test campaigns</li>
</ul>
<ul>
<li>Familiarity with autonomy stacks, flight control systems, or GNC pipelines</li>
</ul>
<ul>
<li>Competence in sensor integration, electronics debugging, or avionics bring-up</li>
</ul>
<ul>
<li>Proficiency in developing automation tools for system testing, logging, and data parsing</li>
</ul>
<ul>
<li>Comfortable interfacing with DoD stakeholders during field events or technical reviews</li>
</ul>
<ul>
<li>Experience with UCI and OMS Standards</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$160,000 - $240,000 a year</Salaryrange>
      <Skills>C++, Python, Real-time operating systems (RTOS), Linux-based development, Embedded systems, Shell scripting, System diagnostics, Sensor integration, Sensor fusion, Middleware frameworks (e.g., ROS, DDS), Simulation tools and environments (e.g., AFSIM, NGTS), Direct experience supporting unmanned aerial systems or similar flight test campaigns, Familiarity with autonomy stacks, flight control systems, or GNC pipelines, Competence in sensor integration, electronics debugging, or avionics bring-up, Proficiency in developing automation tools for system testing, logging, and data parsing, Comfortable interfacing with DoD stakeholders during field events or technical reviews, Experience with UCI and OMS Standards</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015, developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/3daaf9c5-164e-4a8e-abc9-b475a38522c3</Applyto>
      <Location>Washington, DC / Boston, MA / San Diego, California</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>4bc0441f-89d</externalid>
      <Title>Senior Staff Engineer, Software - Autonomous Aircraft Integration</Title>
      <Description><![CDATA[<p>This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. As a Senior Staff Engineer, Software - Autonomous Aircraft Integration, you will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.</p>
<p>Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&amp;D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>System Integration &amp; Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.</li>
<li>Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.</li>
<li>On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.</li>
<li>Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.</li>
<li>Flight Data Capture &amp; Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.</li>
<li>Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.</li>
<li>Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.</li>
<li>Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.</li>
<li>Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).</li>
</ul>
<p><strong>Requirements:</strong></p>
<ul>
<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>
<li>Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience</li>
<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)</li>
<li>Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics</li>
<li>Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)</li>
<li>Hands-on experience supporting flight demos or live exercises</li>
<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation</li>
<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance</li>
<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment</li>
<li>Ability to obtain a SECRET clearance</li>
</ul>
<p><strong>Preferences:</strong></p>
<ul>
<li>Direct experience supporting unmanned aerial systems or similar flight test campaigns</li>
<li>Familiarity with autonomy stacks, flight control systems, or GNC pipelines</li>
<li>Competence in sensor integration, electronics debugging, or avionics bring-up</li>
<li>Proficiency in developing automation tools for system testing, logging, and data parsing</li>
<li>Comfortable interfacing with DoD stakeholders during field events or technical reviews</li>
<li>Experience with UCI and OMS Standards</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$220,800 - $331,200 a year</Salaryrange>
      <Skills>C++, Python, Real-time operating systems (RTOS), Linux-based development, Embedded systems, Shell scripting, System diagnostics, Sensor integration, Sensor fusion, Middleware frameworks (e.g., ROS, DDS), Simulation tools and environments (e.g., AFSIM, NGTS), Direct experience supporting unmanned aerial systems or similar flight test campaigns, Familiarity with autonomy stacks, flight control systems, or GNC pipelines, Competence in sensor integration, electronics debugging, or avionics bring-up, Proficiency in developing automation tools for system testing, logging, and data parsing, Comfortable interfacing with DoD stakeholders during field events or technical reviews, Experience with UCI and OMS Standards</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015, developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/25011392-094f-482c-b007-f307fb8c4f9f</Applyto>
      <Location>Washington, DC / Boston, MA / San Diego, California</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>daf750cb-51a</externalid>
      <Title>Technician II, Maintenance</Title>
      <Description><![CDATA[<p>As a Maintenance Technician, you will play a key role in ensuring the reliability, safety, and mission readiness of Shield AI&#39;s V-BAT unmanned aircraft systems (UAS) and associated Ground Support Equipment (GSE).</p>
<p>Your responsibilities will include conducting organisational-level maintenance on V-BAT unmanned aircraft systems and associated GSE, constructing wiring harnesses and soldering necessary components, complying with written training and certification requirements, supporting the development of maintenance task instructions, and developing relationships with adjacent organisations.</p>
<p>To be successful in this role, you will need to have experience in aviation maintenance and operations, including coordination across multiple departments, significant experience and proficiency with Microsoft Office Suite, excellent verbal and written communication skills, and a proven record of working hard, being a trustworthy teammate, holding oneself and others to high standards, and showing kindness to others.</p>
<p>Preferred qualifications include a FAA A&amp;P license or equivalent internal or external certification, experience in the field of Unmanned Aerial Systems (UAS), experience in avionics, and IPC Certification.</p>
<p>This is a full-time regular employee position with a salary range of $26-$35 per hour, plus bonus, benefits, and equity.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$26-$35 per hour</Salaryrange>
      <Skills>aviation maintenance, Microsoft Office Suite, written communication, teamwork, kindness, FAA A&amp;P license, Unmanned Aerial Systems (UAS), avionics, IPC Certification</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015, developing intelligent systems for protecting service members and civilians.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/4dc07b16-24f4-4ed7-a66e-65422ed1ad1f</Applyto>
      <Location>Dallas</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>