Electro-Optical Systems Engineer II

Job Responsibilities

• Integrate EO/IR sensor assemblies across mechanical, electrical, and software domains, from component-level assembly through system-level test
• Develop and execute test plans for sensor systems; design and fabricate custom hardware fixtures to support integration and characterization activities
• Automate test workflows using Python (OpenCV, PyTorch, general scripting) to ensure data integrity and accelerate test execution
• Support field test events, including hardware setup, real-time monitoring, anomaly reporting, and post-test data processing
• Apply computer vision tools to support sensor alignment, calibration, and performance validation
• Diagnose failure modes across mechanical tolerances, electrical interfaces, and software logic; participate in Failure Review Boards (FRBs) as needed
• Collaborate with algorithm, electronics, and optics personnel to resolve integration issues and support hardware-in-the-loop test activities
• Document procedures, test results, and design findings in support of program deliverables

Required Qualifications

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Optical Engineering or a related technical discipline
• 2+ years of experience in systems integration, hardware test, or a related engineering role
• Hands-on experience integrating hardware assemblies involving mechanical, electrical, and software interfaces
• Proficiency in Python for test automation, data analysis, or computer vision applications
• Ability to read and interpret engineering drawings, wiring diagrams, and assembly documentation
• Active Secret clearance or eligibility to obtain one
• Strong diagnostic and problem-solving skills; ability to isolate failures across multiple domains
• Candidate must be a U.S. Citizen and possess the ability to obtain and maintain a security clearance

Preferred Qualifications

• Experience with EO/IR sensor systems, optical assembly, or camera-based systems
• Familiarity with OpenCV, PyTorch, or similar computer vision and ML frameworks
• Experience with C++ in an engineering or embedded context
• Background in EMI, thermal, or vibration testing and instrumentation
• Exposure to CAD tools (SolidWorks, Creo, or equivalent) for fixture design or hardware documentation
• Experience with GD&T and precision assembly processes