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Principal Engineer, AI Pilot Integration (R3156)

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. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,Twitter, and Instagram.   


We are seeking a highly experienced and motivated individual to lead the development, integration, and optimization of cutting-edge autonomy algorithms for complex systems in aerospace and defense domains. This role is ideal for a seasoned professional with a deep technical background in autonomy and system integration, as well as proven leadership skills in multidisciplinary engineering environments.


As an AI Pilot Integration Engineer, you will collaborate closely with software engineers, systems engineers, and testing teams to design, implement, and validate advanced autonomy solutions that meet stringent operational and safety requirements. You will play a pivotal role in driving innovation, ensuring seamless integration of autonomy algorithms with hardware platforms, and optimizing system performance in real-world mission scenarios.


WHAT YOU'LL DO:
  • Autonomy Development: Design and develop autonomy algorithms for planning, decision-making, perception, and control in complex robotic and aerospace systems.
  • System Integration: Integrate autonomy systems with platform-specific hardware and software, including sensors, communication interfaces, and control systems.
  • Validation and Testing: Oversee simulation-based and real-world testing efforts, including hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations, to validate system functionality and performance.
  • Leadership and Collaboration: Lead multidisciplinary teams, fostering collaboration between software, systems, and testing engineers to meet program goals and mission requirements.
  • Optimization and Troubleshooting: Identify and resolve integration issues, optimize system performance, and ensure compliance with safety and reliability standards.
  • Documentation and Reporting: Document designs, test results, and technical findings, and present them effectively to stakeholders.
  • Innovation and Industry Trends: Stay updated on emerging technologies, tools, and methodologies in robotics, autonomy, and AI to drive innovation in system design and implementation.


REQUIRED QUALIFICATIONS:
  • Bachelor’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field. Master’s or Ph.D. preferred.
  • 15+ years of professional experience in developing, testing, and integrating autonomy algorithms for complex systems.

Technical Expertise:
  • -Extensive experience in developing autonomy solutions for robotics, aerospace, or defense applications, including path planning, decision-making, multi-agent coordination, and adaptive control algorithms.
  • -Proficiency in software development with programming languages such as C++ and Python
  • -Familiarity with real-time operating systems (RTOS).
  • -Hands-on experience with middleware frameworks like ROS (Robot Operating System), DDS, or similar for autonomy and system integration.
  • -Expertise in using simulation environments (e.g., AFSIM, NGTS) and model-based design methodologies.
  • -Strong understanding of AI/ML techniques applied to perception, planning, and decision-making systems, with the ability to implement and optimize these solutions.
  • System Integration and Testing:
  • -Proven track record of integrating autonomy systems into hardware platforms, including UAVs, UGVs, or other robotic systems.
  • -Experience designing and conducting rigorous testing and validation processes, including hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations.

Leadership and Collaboration:
  • -Demonstrated ability to lead multidisciplinary teams, including software developers, system engineers, and testing specialists, to deliver integrated autonomy solutions.
  • -Experience collaborating with systems engineering and product management teams to align autonomy requirements with platform and mission objectives.
  • -Strong interpersonal and communication skills to work with stakeholders, present technical concepts, and document system designs effectively.

Industry Knowledge and Compliance:
  • -Familiarity with open architecture standards such as OMS/UCI or FACE for defense applications.
  • -In-depth knowledge of regulatory requirements and operational constraints for autonomous systems in defense, aerospace, or commercial domains.
  • -Awareness of emerging technologies and industry trends in autonomy, robotics, and AI.

Additional Skills:
  • -Ability to manage multiple projects and prioritize work in a fast-paced, dynamic environment.
  • -Experience with DevOps practices, CI/CD pipelines, and version control tools (e.g., Git, Jenkins).
  • -Active SECRET clearance


$220,000 - $330,000 a year

Total package details for U.S. based positions:

- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity

- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days

of employment)

- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity


Total package details for International positions which are roles based outside of the United States (where applicable):

- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer

allowance, equity, international benefits, visa assistance, and relocation assistance.


Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.


Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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CEO of Shield AI
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Ryan Tseng
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What You Should Know About Principal Engineer, AI Pilot Integration (R3156), Shield AI

Are you ready to take your engineering career to the next level? Shield AI is on the hunt for an experienced Principal Engineer in AI Pilot Integration to join our dynamic team. As a cutting-edge defense technology company, we specialize in protecting service members and civilians through innovative intelligent systems. In this role, you'll dive deep into the development, integration, and optimization of autonomous algorithms applied in complex aerospace and defense systems. Collaborating with software engineers and multidisciplinary teams, you'll design and validate advanced autonomy solutions while ensuring top-notch safety standards. Your expertise in robotics and system integration will shine as you tackle real-world challenges, all while pushing the boundaries of what's possible. You will oversee simulation and real-world testing efforts, lead teams to fulfill program goals, and stay on top of emerging technologies that drive industry innovation. If you're a seasoned professional eager to contribute to transformative projects that matter, this is your chance to shine at Shield AI, where your skills will make a significant impact. Come help us shape the future of autonomous systems in defense and beyond!

Frequently Asked Questions (FAQs) for Principal Engineer, AI Pilot Integration (R3156) Role at Shield AI
What are the main responsibilities of the Principal Engineer for AI Pilot Integration at Shield AI?

As the Principal Engineer for AI Pilot Integration at Shield AI, your main responsibilities will include designing and developing cutting-edge autonomy algorithms tailored for complex aerospace and defense systems. You'll oversee system integration with platform-specific hardware, conduct both simulation-based and real-world testing to validate functionality, and lead multidisciplinary teams to drive collaboration and innovation in autonomy solutions. Documentation and innovation in robotics and AI are also critical components of your role.

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What qualifications are necessary for the Principal Engineer, AI Pilot Integration role at Shield AI?

To qualify for the Principal Engineer, AI Pilot Integration position at Shield AI, you need a Bachelor’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field. A Master’s or Ph.D. is preferred, along with over 15 years of experience in developing and integrating autonomy algorithms for complex systems. Extensive programming experience in languages such as C++ and Python, as well as familiarity with ROS and simulation environments, is essential to succeed in this role.

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How does the Principal Engineer contribute to the safety and reliability of systems at Shield AI?

The Principal Engineer for AI Pilot Integration at Shield AI plays a critical role in ensuring safety and reliability by overseeing rigorous testing and validation processes, including hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations. By identifying integration issues and optimizing system performance, you'll ensure that all autonomy solutions meet stringent operational requirements while maintaining compliance with safety standards.

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What skills are critical for success in the Principal Engineer, AI Pilot Integration position at Shield AI?

Success in the Principal Engineer, AI Pilot Integration position at Shield AI hinges on a mix of technical and leadership skills. These include a deep understanding of autonomy solutions in robotics and aerospace, proficiency in programming languages like C++ and Python, and a proven track record of managing and leading multidisciplinary teams. Strong interpersonal skills for effective stakeholder communication, coupled with an ability to stay updated on industry trends, are equally vital for excelling in this role.

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What is the expected salary range for the Principal Engineer, AI Pilot Integration role at Shield AI?

The salary range for the Principal Engineer, AI Pilot Integration role at Shield AI is between $220,000 and $330,000 annually. This total package includes salary, bonus, benefits, and equity depending on your qualifications and experience. Shield AI values transparency and competitive compensation, which reflects the skills and contributions of our team members in the evolving defense technology landscape.

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Common Interview Questions for Principal Engineer, AI Pilot Integration (R3156)
Can you explain your experience with autonomy algorithms in robotics?

When answering this question, highlight specific projects where you designed or improved autonomy algorithms. Discuss the techniques you employed, such as path planning or decision-making methods, and mention any software or simulation tools you utilized, like ROS or AFSIM. Providing concrete examples of challenges faced and how you overcame them will demonstrate your expertise effectively.

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How do you ensure effective collaboration within multidisciplinary teams?

To answer this question effectively, emphasize your communication strategies and tools you've used for cross-discipline collaboration, such as Agile methodologies or regular sync meetings. Share an example of a successful project where you facilitated teamwork among engineers, emphasizing your role in fostering shared understanding and conflict resolution.

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What is your approach to validating autonomy systems?

Discuss your systematic approach to validation, including initial simulation testing and subsequent real-world trials. Highlight specific methodologies, like hardware-in-the-loop (HIL) testing, and emphasize the importance of safety and performance metrics. Sharing a past project where you successfully validated a system will help make your response more relatable.

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How do you stay updated on emerging technologies in AI and robotics?

Explain your commitment to continuous learning by mentioning conferences, workshops, webinars, and professional organizations you engage with. Additionally, mention any relevant publications or trends in AI and robotics that fascinate you and how you apply this knowledge in your work.

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Describe a challenging integration issue you faced and how you resolved it.

Employ the STAR method (Situation, Task, Action, Result) to provide a structured response. Clearly define the integration challenge, your goals, and the steps you took to address it, focusing on teamwork and technical solutions that led to a successful outcome.

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What programming languages are you most comfortable with for autonomy development?

Identify the programming languages you excel in, specifically mentioning C++ and Python, as they are critical for the role. Discuss how you have applied these languages in developing algorithms or systems, and provide examples of complex projects where your programming skills made a substantial difference.

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How have you applied AI/ML techniques to improve system performance?

Provide examples of AI/ML techniques you've implemented for better decision-making or perception systems. Discuss specific instances where you used machine learning algorithms to enhance system capabilities, referring to the challenges faced and the positive impact your approach had on system performance.

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What experience do you have with simulation environments?

Share your familiarity and hands-on experience with simulation environments such as AFSIM or NGTS. Discuss specific scenarios where you utilized these environments to conduct tests, validate designs, or troubleshoot issues, emphasizing how this experience has equipped you for the Principal Engineer role.

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Can you describe your leadership style in managing engineering teams?

Outline your leadership style, focusing on aspects like collaboration, mentorship, and setting clear expectations. Provide an example where your leadership positively influenced project outcomes, using concrete results to reinforce your approach's effectiveness in fostering a productive engineering environment.

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How do you prioritize projects in a fast-paced environment?

Discuss your prioritization strategies, such as using project management tools or methodologies like Agile or Scrum. Emphasize flexibility and decision-making processes that allow you to adapt to shifting priorities while ensuring that project goals remain aligned with organizational objectives.

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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
January 28, 2025

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