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Autonomy Integration Engineer II (R3347)

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide.  For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.    


Job Description:
  • As a member of the Hivemind Systems Integration Team, you will:
  • Deliver compelling, reliable, and well-tested autonomy capabilities through the Hivemind Enterprise Product
  • Streamline the process of developing autonomy with the Hivemind Enterprise Product
  • Support the use of the Hivemind Enterprise Product on new systems and for novel applications.


What you'll do:
  • Members of the Hivemind Systems Integration team will: 
  • Lead the design, development, and execution of cross-functional or system-wide capabilities that deliver impact to users of the Hivemind Enterprise Product.  Work with several functional teams to implement solutions and integrate them into the product
  • Identify functional gaps in the product backlog and quickly deliver prototypes that still align with the broader vision and architecture.
  • Ensure that Hivemind Enterprise capabilities can be measured against system requirements. Ensure that each capability has testable acceptance criteria and that Hivemind has the analyzers and test infrastructure to measure those criteria. 
  • Identify root causes for reported issues and, if capable, address them. Otherwise, work with functional teams to address bugs in the stack. 


Required Qualifications:
  • Minimum of 2 years of related experience with a Bachelor’s degree; or 0 years and a Master’s degree or a PhD without experience; or equivalent work experience.
  • Deep experience with C++14 and beyond
  • Experience with Python
  • Experience with git or other modern version control systems (e.g. mercurial)
  • Experience with modern package managers (i.e. Conan)
  • Experience working in large, complex, distributed systems
  • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
  • You have a willingness to jump out of your comfort zone to help out other teammates as needed.
  • Good written and verbal communication skills.


Preferred Qualifications:
  • Experience with C++17 or greater
  • Comfortable analyzing data to improve design and performance of a system
  • Experience with hands-on debugging of complex software and autonomy systems
  • Experience with robotics frameworks, such as ROS, and simulators (e.g. AirSim)
  • Experience with cloud-based systems and infrastructure, containerisation technologies, Kubernetes, etc.
  • Familiarity with CUDA, streaming video, hardware integration, networking, communications
  • Understanding about a wide range of autonomy products


$133,704 - $200,556 a year

#LI-ED1

#LB


Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity


Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)


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. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.


###


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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Average salary estimate

$167130 / YEARLY (est.)
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$133704K
$200556K

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What You Should Know About Autonomy Integration Engineer II (R3347), Shield AI

Are you ready to take the leap into the world of cutting-edge defense technology? As an Autonomy Integration Engineer II at Shield AI, located in the vibrant San Diego Metro Area, you'll play a pivotal role in delivering intelligent, autonomous systems that protect both service members and civilians. Founded in 2015, Shield AI is committed to innovation, and as part of the Hivemind Systems Integration Team, you'll help streamline the development and integration of autonomy capabilities through our flagship Hivemind Enterprise Product. Your responsibilities will include leading the design and execution of impactful, cross-functional solutions while working with various teams to ensure our technology meets rigorous system requirements. With a focus on measuring capabilities against established criteria, you'll solve complex challenges and help create prototypes that align with our broader vision. If you're passionate about robotics, programming in C++ and Python, and love tackling intricate problems, this role offers an exciting opportunity to stretch your skills while making a real-world impact. Join us at Shield AI, where your contributions could change the landscape of defense technology, and be part of a team that values hard work, innovation, and collaboration. Apply today and help us redefine the future of autonomy!

Frequently Asked Questions (FAQs) for Autonomy Integration Engineer II (R3347) Role at Shield AI
What are the main responsibilities of an Autonomy Integration Engineer II at Shield AI?

As an Autonomy Integration Engineer II at Shield AI, your main responsibilities include delivering reliable autonomy capabilities through the Hivemind Enterprise Product, leading design and execution of system-wide solutions, and ensuring the integration of various functionalities within the product. You'll also be involved in prototyping and addressing issues that arise during development, directly impacting the effectiveness of our autonomous systems.

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What qualifications are required for the Autonomy Integration Engineer II position at Shield AI?

To qualify for the Autonomy Integration Engineer II position at Shield AI, candidates should have a minimum of 2 years of related experience, or higher degrees such as a Master's or PhD without experience. Proficiency in C++14 and beyond, experience with Python, and familiarity with version control systems like git are essential. Additionally, candidates should possess skills in debugging complex systems and strong communication abilities.

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What programming languages should I be familiar with for the Autonomy Integration Engineer II role at Shield AI?

For the Autonomy Integration Engineer II role at Shield AI, familiarity with C++14 and later versions is crucial, along with experience in Python. Knowledge of modern package managers such as Conan and an understanding of distributed systems will give candidates an edge in this position, as these languages and tools are integral in developing and maintaining our autonomous capabilities.

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What is the work culture like for an Autonomy Integration Engineer II at Shield AI?

At Shield AI, the work culture encourages collaboration, innovation, and high standards of performance. As an Autonomy Integration Engineer II, you'll be part of a team where mutual support is paramount, and all team members are expected to contribute positively. The company's commitment to equality and kindness fosters an environment where everyone can thrive, making it a great place for passionate engineers.

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What opportunities for career growth exist for the Autonomy Integration Engineer II at Shield AI?

Shield AI offers numerous opportunities for career growth for an Autonomy Integration Engineer II, including exposure to advanced technologies, involvement in innovative projects, and pathways to leadership roles. As the company expands, engineers have the chance to deepen their expertise, work on varied applications, and impact the broader mission of developing autonomous systems in defense technologies.

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Common Interview Questions for Autonomy Integration Engineer II (R3347)
Can you explain your experience with C++ in the context of autonomous systems?

When answering this question, highlight specific projects where you used C++ for autonomy development. Talk about how you utilized C++ for problem-solving in complex systems, discussing any challenges faced and how you overcame them. Providing tangible results or improvements from your work can make your response impactful.

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How do you typically approach debugging complex software systems?

In responding to this question, outline your systematic approach to debugging, such as identifying the issue, replicating it, and using tools for analysis. Mention any particular experiences where your debugging skills directly contributed to resolving software issues, and emphasize the importance of teamwork in this process.

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What role does version control play in your software development process?

For this question, explain the significance of using version control like git in managing code changes, facilitating collaboration, and ensuring code integrity. Share specific examples from past experiences where version control enabled smooth team cooperation or helped track down problematic changes in a project.

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How do you prioritize tasks when working on multiple projects?

Discuss your method for prioritizing tasks, such as using tools like Kanban boards or prioritizing based on project deadlines and impact. Including an example of a time when you managed multiple projects effectively will show your capabilities in time management and organization.

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Can you describe a time when you had to work closely with cross-functional teams?

When answering this question, provide details of a specific project where collaboration with other teams was essential. Explain your role, how you facilitated communication, and any obstacles you overcame. This showcases your teamwork and interpersonal skills, which are critical in the Autonomy Integration Engineer II role.

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What methodologies do you use for developing autonomous capabilities?

Share the development methodologies, like Agile or Iterative, that you have applied in past projects. Discuss how these methodologies helped in managing changes effectively and delivered functional autonomy solutions, offering examples where applicable.

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Describe how you measure the success of an autonomy feature.

In your response, focus on metrics such as testable acceptance criteria, performance benchmarks, and user feedback. Share specific indicators you have used to assess the success of features you contributed to, demonstrating your knowledge of performance evaluation in the domain of autonomy.

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What challenges have you faced in the field of autonomous systems, and how did you overcome them?

Identify specific challenges like integration issues, software bugs, or performance limitations. Discuss your approach to troubleshooting these challenges, highlighting your analytical skills and determination to find effective solutions, thus showcasing your problem-solving abilities.

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What interests you most about working at Shield AI as an Autonomy Integration Engineer II?

This is a chance to express your passion for Shield AI’s mission. Discuss what excites you about contributing to defense technology, the innovative projects at Shield AI, and the potential for professional growth within the company. Align your interests with the company’s goals to make a strong connection.

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How do you stay updated with current trends in autonomous technologies?

Emphasize your commitment to professional development by discussing various ways you stay informed, such as attending industry conferences, participating in online forums, or reading relevant literature. This demonstrates your proactive attitude towards continuous learning in the rapidly evolving field of autonomy.

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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
April 8, 2025

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