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Senior Software Engineer, Autonomy Flight Test and Demonstration (R3306)

About Shield AI     


Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide.


We are seeking an Autonomy Flight Test & Demonstration Software Engineer to support customer engagements by integrating, testing, and demonstrating Hivemind on a variety of UAV platforms. This role blends hands-on software engineering, flight operations, and direct customer interaction, making it an exciting opportunity for engineers who thrive in fast-paced environments.


What You'll Do
  • Support live customer demonstrations of Hivemind autonomy by setting up and operating software on UAVs in field environments.
  • Develop, test, and debug software components for flight operations, ensuring seamless integration of Hivemind SDK onto customer platforms.
  • Conduct flight testing of UAV autonomy, logging results, debugging issues, and providing feedback to the autonomy development team
  • Work cross-functionally with engineering, product, and customer success teams to refine software configurations and optimize mission performance.
  • Analyze and document flight test results, providing actionable insights to improve autonomy, controls, and user experience.
  • Collaborate directly with customers, pilots, and engineers to tailor UAV behavior and troubleshoot technical challenges.
  • Contribute to automation tools for telemetry collection, flight data analysis, and debugging.


Required Qualifications
  • B.S in Computer Science, AI, Robotics, Aerospace Engineering or similar.
  • 5+ years of experience in software development (C++, Python).
  • Experience working with UAV flight software, autonomy, or robotics systems.
  • Strong debugging and troubleshooting skills, particularly in real-time field environments.
  • Familiarity with flight controllers (PX4, ArduPilot, or similar) and UAV integration workflows.
  • Experience conducting field tests and live demonstrations with autonomous systems.
  • Ability to travel domestically and internationally (30%).
  • Strong communication skills and the ability to work directly with customers in high-stakes environments.


Preferred Qualifications
  • Hands-on experience with hardware-in-the-loop (HIL) or software-in-the-loop (SIL) simulation for UAV testing.
  • Prior experience in DoD programs, military UAV operations, or aerospace/defense testing.
  • Experience working with MAVLink, RTPS, or DDS-based communication protocols.
  • FAA Part 107 certification or experience operating UAVs in field environments.


$129,467 - $194,201 a year
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Average salary estimate

$161834 / YEARLY (est.)
min
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$129467K
$194201K

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What You Should Know About Senior Software Engineer, Autonomy Flight Test and Demonstration (R3306), Shield AI

At Shield AI, we are on a mission to level the playing field in defense technology by creating intelligent systems that protect service members and civilians alike. As a Senior Software Engineer specializing in Autonomy Flight Test and Demonstration, you'll be an essential part of our team, working directly with our innovative Hivemind autonomy software. This role is not just about coding; it’s about getting hands-on with cutting-edge UAVs and showcasing our technology through live demonstrations. You'll integrate our software onto different platforms, ensuring that everything runs smoothly during flight tests. Collaborating with engineers, product managers, and customers, you'll be instrumental in analyzing flight test data and refining our software to optimize mission performance. If you're passionate about robotics, love troubleshooting complex issues in real-time, and enjoy collaborating across teams, this position in San Diego's vibrant tech scene might be your perfect fit. With a dynamic work environment and an emphasis on innovation, your contributions at Shield AI will help shape the future of autonomy in aerospace and defense. Join us in making a real difference and being part of a company that actively supports U.S. and allied operations around the globe. Your expertise can truly impact how we approach aviation and defense technology at Shield AI!

Frequently Asked Questions (FAQs) for Senior Software Engineer, Autonomy Flight Test and Demonstration (R3306) Role at Shield AI
What are the key responsibilities of a Senior Software Engineer, Autonomy Flight Test and Demonstration at Shield AI?

As a Senior Software Engineer, Autonomy Flight Test and Demonstration at Shield AI, you will be responsible for supporting live customer demonstrations by operating our Hivemind software on UAVs. This includes developing, testing, and integrating software components, conducting flight tests to log and debug performance, and directly collaborating with customers to tailor UAV behavior and resolve technical issues.

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What qualifications do I need to become a Senior Software Engineer at Shield AI?

To qualify for the Senior Software Engineer, Autonomy Flight Test and Demonstration role at Shield AI, candidates should possess a B.S. in Computer Science, AI, Robotics, Aerospace Engineering, or a similar field, along with 5+ years of experience in software development, particularly in C++ and Python. Experience with UAV flight software and debugging in real-time environments is also essential.

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What kind of projects will I work on as a Senior Software Engineer at Shield AI?

In the role of Senior Software Engineer at Shield AI, you will be involved in projects that include flight testing of UAV autonomy, developing automation tools for telemetry collection, and collaborating cross-functionally to enhance mission performance. You'll also participate in live demonstrations and refine our software based on customer feedback.

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Is travel required for the Senior Software Engineer, Autonomy Flight Test and Demonstration role at Shield AI?

Yes, the Senior Software Engineer, Autonomy Flight Test and Demonstration position at Shield AI requires some travel, estimated at around 30%. This travel will primarily be for field operations, customer engagements, and testing scenarios that are crucial to the role.

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What technical skills are preferred for the Senior Software Engineer position at Shield AI?

Preferred technical skills for the Senior Software Engineer role at Shield AI include experience with hardware-in-the-loop (HIL) or software-in-the-loop (SIL) simulation, knowledge of MAVLink and other communication protocols, and familiarity with autonomous systems in DoD programs or military UAV operations.

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Common Interview Questions for Senior Software Engineer, Autonomy Flight Test and Demonstration (R3306)
What experience do you have with UAV flight software?

In answering this question, discuss specific UAV platforms you have worked with, the software you developed or integrated, and any challenges you faced. Highlight your troubleshooting skills and how you improved the flight performance using your software solutions.

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Can you explain a situation where you had to debug a real-time system?

Provide a clear example of a real-time system you worked on, detailing the steps you took to identify the problem, the tools you used for debugging, and how you resolved the issue. Emphasize your methodical approach and teamwork if applicable.

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How do you prioritize tasks when working on multiple projects?

Describe your approach to prioritization, such as using tools or methodologies (like Agile or Kanban) and how you assess the urgency and importance of tasks. Give a specific example of when you successfully managed competing deadlines in a high-pressure environment.

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What is your experience with flight test documentation?

Discuss your involvement in documenting flight test results, how you structured your documentation, and the importance of this information in improving autonomy software. Highlight any tools or processes you employed to ensure clarity and accessibility.

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How do you approach customer engagement in technical demonstrations?

Share your strategies for engaging customers during technical demonstrations, including how you tailor your communication to the audience, troubleshoot on-the-spot issues, and gather actionable feedback after a demonstration.

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Describe your experience with cross-functional teamwork.

Illustrate your approach to working with cross-functional teams by sharing experiences where collaboration led to success. Explain how you ensured clear communication and aligned goals across different departments to achieve project outcomes.

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What methodologies do you employ for software testing?

Discuss the software testing methodologies you are familiar with, such as unit testing, integration testing, and system testing. Explain how you implement these methodologies to ensure robustness and reliability in your work.

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Have you ever worked on projects involving autonomy in drones? If so, can you describe that?

Clearly outline any projects where you developed or tested autonomous features in drones. Discuss the scope of the project, your contributions, and the outcomes. Mention any challenges faced and how you overcame them, focusing on innovative thinking.

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What tools do you use for telemetry data analysis?

Discuss specific tools you prefer for telemetry data analysis, how you use them effectively to extract valuable insights, and any improvements you've achieved in UAV operations based on your analysis.

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Are you familiar with any communication protocols for UAV systems?

Confirm your familiarity with communication protocols like MAVLink, RTPS, or DDS, and describe any instances where you utilized these protocols in your projects. Emphasize their importance in ensuring seamless communication in autonomous systems.

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Our mission is to protect service members and civilians with intelligent systems.

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Full-time, on-site
DATE POSTED
March 21, 2025

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