Shield AI
Engineer II/Senior Engineer, Systems Test (R3255)
Shield AI, Washington, District of Columbia, us, 20022
Engineers II/Senior Engineer, Systems Test (R3255) at Shield AI
Founded in 2015, Shield AI is a venture‑backed deep‑tech company whose mission is to protect service members and civilians with intelligent systems. The company develops autonomous aircraft such as the V‑BAT and X‑BAT, alongside the Hivemind Enterprise and Vision product lines, and operates across the U.S., Europe, the Middle East, and the Asia‑Pacific.
The Hivemind Solutions Test Department is seeking an Engineer II or Senior Test Engineer (Software & Simulation Focus) to join our DC‑based team. This role focuses on validating the reliability, safety, and performance of our autonomy software through simulation‑driven testing, automation, and software quality efforts.
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
Minimum of 3‑5 years related experience with a Bachelor’s degree; or 2‑4 years and a Master’s degree; or 2 years with a PhD; 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, able 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
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
Salary $113,348 – $170,022 per year, plus bonus, benefits, and equity. Compensation is influenced by skill set, level of experience, licenses and certifications, and specific work location.
Equal Opportunity Statement 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.
Hiring Process We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Founded in 2015, Shield AI is a venture‑backed deep‑tech company whose mission is to protect service members and civilians with intelligent systems. The company develops autonomous aircraft such as the V‑BAT and X‑BAT, alongside the Hivemind Enterprise and Vision product lines, and operates across the U.S., Europe, the Middle East, and the Asia‑Pacific.
The Hivemind Solutions Test Department is seeking an Engineer II or Senior Test Engineer (Software & Simulation Focus) to join our DC‑based team. This role focuses on validating the reliability, safety, and performance of our autonomy software through simulation‑driven testing, automation, and software quality efforts.
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
Minimum of 3‑5 years related experience with a Bachelor’s degree; or 2‑4 years and a Master’s degree; or 2 years with a PhD; 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, able 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
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
Salary $113,348 – $170,022 per year, plus bonus, benefits, and equity. Compensation is influenced by skill set, level of experience, licenses and certifications, and specific work location.
Equal Opportunity Statement 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.
Hiring Process We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr