Shield AI

Engineer II, Systems Test (R5038)

Shield AI$89K — $130K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience with a Bachelor's, or a Master's with no experience, or a PhD; equivalent experience accepted
  • Proficient in Python and automation tools
  • Hands-on experience in robotics, small UAS, or similar engineering projects
  • Strong analytical and debugging skills
  • Passionate about autonomous aircraft systems
  • Excellent communication skills for cross-team collaborations
  • Must obtain and maintain a SECRET Clearance; US citizenship required

Responsibilities

  • Develop automated tests to ensure software quality and stability
  • Identify and troubleshoot software issues with development teams
  • Create test plans for autonomy software in simulation environments
  • Design and maintain simulation-based test frameworks for autonomy validation
  • Build automation tools and analyze data in Python
  • Develop tools for Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and Vehicle-in-the-Loop (VIL)
  • Define testing methodologies and performance benchmarks
  • Support the scalability of simulation infrastructure for software validation
  • Maintain accurate test documentation for transparency across teams
  • Integrate test coverage into the CI/CD development pipeline

Benefits

  • Bonus opportunities
  • Equity options
  • Comprehensive health benefits after 60 days
  • Career development and learning opportunities
  • Collaborative team environment
Full Job Description
Job Description:

The Hivemind Solutions Test Department is seeking an Engineer II (Software & Simulation Focus) to join our DC-based team. Since Shield AI's mission is to protect service members and civilians, The Hivemind Solutions Test Department makes this a reality by validating the reliability, safety, and performance of our world-class autonomy software.

You'll lead simulation-driven testing, automation, and software quality efforts for Hivemind, building and executing test frameworks that ensure our autonomy software performs reliably across simulated and real-world mission environments.

Shield AI is growing quickly, and we're looking for someone who thrives in fast-paced environments, embraces learning, and brings a high-ownership, mission-driven mindset. This is a chance to have a real impact-advancing autonomy that protects lives-while working with a collaborative, high-performing team.

What you'll do:

  • Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases
  • Identify, reproduce, and diagnose software issues-collaborating closely with development teams to drive fixes and improvements
  • Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met
  • Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance
  • Build tools and utilities in Python to automate testing, data processing, and analysis workflows
  • Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments
  • Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation
  • Support the scaling and reliability of simulation infrastructure used for large-scale software validation
  • Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams
  • Work with developers to integrate test coverage directly into the development pipeline (CI/CD)


Required qualifications:

  • Typically requires a 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.
  • Proficiency in Python
  • Experience in robotics, small UAS, or related hands-on engineering projects
  • Strong analytical, problem-solving, and debugging skills
  • Passionate about intelligent aircraft systems
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional software, hardware and mechanical engineering teams
  • Adaptability and a willingness to learn new technologies and methodologies quickly in a fast-paced environment
  • The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance.


Preferred qualifications:

  • Experience testing autonomous systems, robotics software, or flight autonomy algorithms
  • Familiarity with C++ and software/hardware integration concepts.
  • Experience with HIL or VIL test environments.
  • Exposure to machine learning or AI-driven autonomy systems.
  • Background in simulation infrastructure design, distributed testing, or test data management.
  • Quality Assurance (QA) experience, including process definition, metrics, and validation tracking
  • Experience with aerospace, defense, or mission-critical software
  • Active SECRET clearance preferred


$89,000 - $130,000 a year

#LI-KC3

#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.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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