Senior Engineer, Systems Test (R5038)

Team: Integration & Test

Location: Washington, DC

Commitment: Full Time Employee

Workplace Type: onsite

Job Description:

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 3-5 years of 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, 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