Senior Engineer, Systems Test (R4472)

Team: Integration & Test

Location: Washington, DC, San Diego, California

Commitment: Full Time Employee

Workplace Type: onsite

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:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related technical field. 
• 3–5 years of experience in software integration, testing, or quality assurance, preferably in robotics, aerospace, or autonomous systems. 
• Proficiency in Python for test automation, scripting, and data analysis. 
• Experience with simulation environments (e.g., Gazebo, Unreal, or custom simulation frameworks) and test automation tools. 
• Strong understanding of software testing principles, including integration, regression, and system-level validation. 
• Familiarity with continuous integration (CI/CD) and test pipelines (e.g., GitLab CI, Jenkins). 
• Excellent analytical, problem-solving, and debugging skills. 
• Strong collaboration and communication skills with software and systems teams. 
• Adaptability, growth mindset, and willingness to learn new technologies quickly in a fast-paced, scaling environment. 
• Self-starter with a sense of urgency, motivation, and comfort operating in ambiguity. 
• U.S. Citizenship and ability to obtain and maintain a SECRET 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.