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Shield Ai Interview Questions

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Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Shield Ai Salaries by Position

Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.
As a Build and Release Engineer on the Hivemind team at Shield AI, you will play a pivotal role in the development, integration, and distribution of our cutting-edge autonomy SDK. This SDK serves as a core foundation for AI-powered autonomy solutions deployed across specialized platforms. Your work will ensure our developers have a streamlined, reliable, and efficient development process, enhancing developer velocity and deployment confidence. Working closely with autonomy engineers, you’ll focus on optimizing our build systems, managing complex dependencies, and refining release processes to meet the unique demands of autonomy development.

WHAT YOU'LL DO: Build System and Dependency Management Architect, optimize, and maintain C++ build systems using tools like CMake and Makefiles, focusing on reproducibility and scalability across development and production environments.
Manage and integrate dependencies effectively with Conan, ensuring a consistent and secure package management strategy that aligns with SDK requirements.
Work with package management tools like Debian to handle cross-platform dependencies, making the SDK accessible to a wide range of developers and systems.

Optimization and Profiling Identify and address build performance bottlenecks through profiling tools and techniques, implementing optimizations like caching and precompiled headers to reduce build times and improve efficiency.
Apply best practices in compiler and linker configurations for GCC and Clang, ensuring compatibility across various platforms and improving build reliability.

Linux Expertise Leverage expertise in Linux-based development to troubleshoot and enhance SDK builds, deploying across distributions like Ubuntu and RHEL.
Develop scripts in Bash or ZSH for automation and build process improvements.

Version Control and Branching Strategies Collaborate closely with autonomy engineers to support codebase management, continuously improving workflows to reduce development friction.

REQUIRED QUALIFICATIONS: Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
5+ years in build and release engineering, ideally within C++-based environments.
Proficiency with CMake and Linux development.
Experience with some C++ package management tool (like Conan).
Experience working with CI/CD tools, automated pipelines, and virtualized environments.
PREFERRED QUALIFICATIONS: Deep Conan expertise.
Adaptable problem solver - able to learn new skills quickly and can hop into many different projects quickly.
Working in large mono-repo or poly-repo projects with 100+ developers.

$150,697 - $226,046 a year
#LI-AC1
#LD
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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Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world's best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI's products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. Job Description: As a member of the HMX Perception team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning, and machine perception. You will develop cutting-edge technology onto real hardware that provides robust and accurate estimates of vehicle pose and surroundings for real missions. Shield AI is pushing the envelope by applying advanced AI solutions to real hardware systems. An ideal candidate should aspire to be a part of this industry-changing team developing and deploying advanced technology that can truly make an impact. What You'll Do: <ul> <ul><li>Write production quality software in C++ </li> <li>Produce an Assured Position, Navigation, and Timing (A-PNT) system to enable reliable autonomy in GNSS-degraded or denied environments </li> <li>Extend and specialize Shield AI's state-of-the-art state estimation framework for new sensors, platforms, and missions </li> <li>Write test code to validate your software with simulated and real-world data </li> <li>Collaborate with hardware and test teams to validate algorithms/code on aerial platforms </li> <li>Write analyzers to ingest data and produce statistics to validate code quality </li> <li>Enhance sensor models within a high-fidelity simulation environment </li> <li>Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and benchmarking capabilities </li> </ul></ul>Required Qualifications: <ul> <ul><li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience </li> <li>Ability to develop, benchmark, debug, and deploy software-based algorithms </li> <li>Demonstrated problem solving skills by applying a scientific approach </li> <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><li>Demonstrated experience integrating and working with sensor payloads in the DoD space </li><li>Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems </li><li>A solid foundation in theory related to state estimation, object detection, data association, probabilistic robotics, and signal processing. </li><li>Experience working projects with 10+ contributors </li> <li>Offers Fast, efficient, effective problem solving approaches </li> <li>Exceptional collaborator and communicator </li> <li>Comfortability within Unix environments </li> <li>Hard-working, trustworthy teammate </li> <li>Exhibits holding themselves and others to high standards </li> <li>Being kind to others </li> <li>Ability to obtain a SECRET clearance </li> </ul></ul>Preferred Qualifications: <ul> <ul><li>MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience </li> <li>Understanding of robotics technologies related to autonomous behavior development e.g. task allocation or planning. </li> <li>Understanding/Experience with unmanned system technologies and accompanying algorithms (specifically air domain) </li> <li>Familiarity with high-fidelity simulation and sensor modeling </li><li>Working knowledge of Kalman Filter, Factor Graphs and other modern estimator fundamentals. </li><li>Strong working knowledge of Computer Vision with hands-on experience with OpenCV or similar CV libraries. </li><li>Experience developing sensor effects (control) algorithms. </li><li>Hands-on experience developing or implementing state of the art object detection/recognition pipelines. </li><li>Active SECRET clearance </li> </ul></ul> $157,080 - $235,620 a year #LC #LI-OE1

Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.
Hivemind Design (HMD) is an innovative simulation, data science, and infrastructure team at Shield AI. We own the tools for designing, developing, testing, deploying and evaluating instances of the Hivemind AI pilot and commander. Our software products enable companies to construct and control sophisticated autonomous systems, and therefore we are transforming the future of autonomy. We are committed to excellence, driving innovations that prepare autonomous agents for the most critical missions.
The Hivemind Design product is Shield AI's AI Factory; a service-oriented architecture leveraged through an SDK, CLI, and web portal. Our focus is on leveraging both virtualized and bare-metal infrastructure to orchestrate autonomous agents in sophisticated simulations, dynamically configure test beds, and pioneer software configurations and deployments on robotic systems. The HMD team is not only solving problems; we are tasked with setting new benchmarks in technology and delivering unparalleled user experiences.
We pride ourselves on a diverse team of experts from fields such as computer science, aerospace, game design, and distributed simulation systems. This diversity fuels our innovative spirit, in an environment that values creativity, teamwork, and a relentless pursuit of excellence.
As a Principal Engineer you’ll help lead the development of the HMD product APIs and server infrastructure. Our hybrid cloud platform is the backbone of HMD, facilitating robust development environments and operational excellence. We're looking for an engineer with a visionary outlook and a solid track record in on-premises and cloud-based environments to help lead our API and Infrastructure initiatives.
What You'll Do: Implement robust APIs and middleware solutions to facilitate seamless interaction between simulated and real agents.
Drive the deployment and configuration of agents on various hardware platforms, from embedded devices to cloud servers, ensuring efficient resource utilization and performance optimization.
Define requirements and specifications for the hybrid infrastructure needed for the HMD Orchestration, Analysis, Reinforcement Learning and Simulation products, considering factors such as networking, communication protocols, middleware integration, load balancing, scalability, and security.
Contribute to the integrated installer command line tool and APIs for Hivemind software
Implement comprehensive documentation and tutorials to onboard internal engineers and external clients quickly, providing clear instructions on how to use HMD products to develop and deploy autonomy solutions effectively.
Required Qualifications: Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or a PhD with 2 years experience; or equivalent experience.
7+ years of hands-on experience in designing and developing production quality software systems.
1+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration
1+ years experience developing and distributing web APIs, including proficiency with gRPC and RESTful APIs.
Experience with Authentication and Authorization frameworks and protocols (e.g., Keycloak, OAuth2, etc.)
Advanced experience with Golang and Python
Solid understanding of network protocols (UDP, TCP), with experience in designing and implementing networked applications.
BS/MS in Computer Science, similar degree, or equivalent practical experience
Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
Preferred Qualifications: Experience with developing and deploying Helm Charts
Experience with packaging and distributing Debian packages
Experience with network tools such as Serf, Wireshark, and Traffic Cop.
Experience with CUE
Experience in relational databases, automated migrations, and canary deployments
Prior experience in a highly regulated industry, such as aerospace or government contracting, with a focus on secure and compliant software development practices
Experience with C++
$155,000 - $232,000 a year #LI-AM1
#LD
Total package details:
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
Actual 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.
If you're interested in being part of our team, apply now!
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal 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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Shield Ai Interview Questions

Shield Ai Interview Guides

Shield Ai Interview Questions

Shield Ai Salaries by Position

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