Programmer​/Analyst

• Translate complex algorithmic concepts into clean, modular, and testable Python code.
• Design experimental plans and evaluate prototype performance using realistic datasets and metrics such as latency, accuracy, and robustness.
• Maintain versioned releases, write reproducible experiment notebooks, and document software designs.
• Collaborate with technical teams and stakeholders to transition research prototypes into operational environments.

• Clearance:
  Active Top Secret security clearance, with the willingness and eligibility to obtain a TS/SCI.
• Education & Experience:
  
  Bachelor’s degree in a technical discipline with 10+ years of experience in software design, development, and documentation.
• AI/ML Expertise:
  Strong background in machine learning theory, deep learning, natural language processing (NLP), computer vision, or adversarial AI.
• Frameworks & Tools:
  Hands-on experience with deep learning frameworks (PyTorch, Tensor Flow), data science libraries (Num Py, pandas, Sci Py), and agentic frameworks (such as Model Context Protocol).
• Software Engineering:
  Strong Git workflow experience (branching, pull requests, code reviews) and environment reproducibility tools (conda, virtualenv).

• Ability to read, evaluate, and implement methodologies from state-of-the-art AI research papers.
• Experience with cloud-based platforms (AWS, Azure, or Google Cloud).
• Familiarity with web application development, APIs, and GUI development (AJAX, XML, XSLT).
• Experience with software build scripting (Make, CMake).

• Clearance:
  Active Top Secret security clearance, with the willingness and eligibility to obtain a TS/SCI.
• Education & Experience:
  
  Bachelor’s degree in a technical discipline with 10+ years of experience in software design, development, and documentation.
• AI/ML Expertise:
  Strong background in machine learning theory, deep learning, natural language processing (NLP), computer vision, or adversarial AI.
• Frameworks & Tools:
  Hands-on experience with deep learning frameworks (PyTorch, Tensor Flow), data science libraries (Num Py, pandas, Sci Py), and agentic frameworks (such as Model Context Protocol).
• Software Engineering:
  Strong Git workflow experience (branching, pull requests, code reviews) and environment reproducibility tools (conda, virtualenv).

• Ability to read, evaluate, and implement methodologies from state-of-the-­arg‑AI research papers.
• Experience with cloud-based platforms (AWS, Azure, or Google Cloud).
• Familiarity with web application development, APIs, and GUI development (AJAX, XML, XSLT).
• Experience with software build scripting (Make, CMake).

• Level: Top Secret

• Full‑time schedule with standard hours;
  Estimated domestic travel of approximately 10%

Estimated domestic travel of approximately 10%

• Health and Financial Foundation — Medical, dental, vision, retirement, life insurance, disability coverage, and flexible spending accounts are described in the benefits page.
• Time Away and Flexibility Where Mission Permits — PTO, holidays, sick time, military leave, and flexible arrangements are supported where program and security requirements allow.
• Professional Development — The site references certification support, training, conferences, mentorship, internal mobility, and individual development planning.

Footbridge Federal delivers engineering, cyber, mission IT, analytics, and cleared program support for defense, intelligence, federal civilian, homeland security, and research missions.

Mission Context Matters

Candidates should expect work tied to defense, intelligence, federal civilian, homeland, and research missions rather than generic commercial delivery.

Small-Team…