Computer Vision Analyst II - Top Secret clearance

About the Role

We are seeking a motivated engineer to develop and support the end-to-end digital simulation platform.

The ideal candidate will:

• Operate and update the simulation
• Conduct statistical analysis & uncertainty quantification via Monte‑Carlo simulations, Design‑of‑Experiments (DoE), sensitivity testing, and algorithm‑level error modeling
• Develop interactive dashboards, generate plots/reports for stakeholders, and tailor visual output for different audiences
• Define test cases, compare simulation results against analytical/ground‑truth data, document V&V evidence, and support formal review packages
• Debug computer‑vision algorithm performance in the simulation by debugging the underlying code and using visualizations to diagnose issues
• Collaborate with embedded‑hardware, optics, and systems teams to ensure the simulation reflects actual hardware behavior and integrates smoothly with downstream tool chains

• Proficiency in Python (including libraries such as Num Py, Sci Py, Pandas, and Bokeh)
• Understanding of Statistical Methods (Monte‑Carlo, basic uncertainty quantification)
• Ability to generate clear visualizations and communicate results to both technical and non‑technical audiences
• Experience with Linux development environments and shell scripting
• Proficiency in C++, including the ability to read, maintain, and/or extend C++ codebase

• U.S. Citizen required
• Active Top Secret security clearance required prior to start

• Bachelor’s degree in Computer Science, Aerospace Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 1+ year(s) of relevant experience
• Experience with MATLAB
• Foundational knowledge of core algorithms used in computer‑vision and signal‑processing (e.g., feature extraction, optical flow, SLAM, matrix factorization, optimization, linear‑algebra routines)
• Docker experience containerizing applications for reproducible builds and testing
• CI/CD pipelines familiarity (e.g., Git Lab CI or similar tools for automated testing and deployment)

• Medical, Dental, Vision, Life Insurance, Short‑Term Disability, Long‑Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays

Work is performed onsite at a designated Lockheed Martin facility.

Schedule:

9x80 with every other Friday off.

The annual base salary range for this position is $89,300 - $157,435 depending on location.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.