Senior Computer Scientist​/Engineer

Position Summary

Odyssey Systems is seeking a Senior Computer Scientist / Engineer to support advanced situational awareness and Multi‑Domain Operations (MDO) initiatives. This position will focus on the design and development of a common software architecture that integrates diverse applications, sensors, and data sources into a unified operational system. The selected candidate will provide technical leadership in software architecture and systems integration, enabling complex operational environments to leverage data across multiple platforms and domains.

This role requires a strong understanding of large‑scale software architectures, systems engineering principles, and mission‑focused system integration. The ideal candidate brings extensive experience in software architecture, system integration, and technical leadership, along with a demonstrated ability to develop innovative solutions that support mission‑critical DoD operational requirements. This is a full‑time position located at Mac Dill AFB, FL or Ft. Belvoir, VA.

Contingent upon contract award***

Duties include, but not limited to:

• Lead the design and development of a common software architecture that integrates diverse applications and data sources into a unified operational system.
• Develop innovative technical solutions that address complex operational requirements and enhance situational awareness capabilities.
• Provide technical leadership and guidance to engineering teams, ensuring alignment with program goals and organizational objectives.
• Resolve highly complex technical challenges using advanced technical knowledge, conceptual reasoning, and innovative problem‑solving approaches.
• Conduct research and apply industry best practices and emerging technologies to develop mission‑focused software solutions.
• Support development and integration of large‑scale systems that combine multiple data sources, applications, and platforms.
• Collaborate with executive leadership, government stakeholders, and program leadership to advocate for new concepts, practices, and architectural approaches.
• Serve as a subject matter expert in software architecture and systems integration, mentoring junior engineers and technical staff.
• Support technical planning, architecture design reviews, and system engineering activities throughout the system lifecycle.
• Influence development of solutions that impact strategic program objectives, operational capabilities, and mission outcomes.
• Contingent upon contract award***

Citizenship:
Must be a US citizen.

Clearance:
Active Secret (ability to obtain TS/SCI with CI Poly required).

Education:

Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Applied Mathematics, or related STEM field.

Experience:

8 years of Relevant Experience.

• Strong expertise in RF engineering, spectrum management, signal processing, and sensor systems.
• Hands‑on experience with sensors, radar, communications systems, and electronic warfare platforms.
• Proficiency in signal processing software and languages and experience with AI/ML applied to sensor data.
• Familiarity with multi‑domain operational concepts, situational awareness systems, and DoD sensor architectures.
• Demonstrated ability to work in multidisciplinary teams, lead technical efforts, and communicate complex concepts to stakeholders.

Education:

Master’s or Doctorate degree in Computer Science, Software Engineering, Systems Engineering, or related technical discipline.

Experience:

10+ years of Relevant Experience supporting DoD, Intelligence Community, or defense technology programs.

• Experience supporting large‑scale systems integration, situational awareness platforms, or operational command and control systems.

• Expertise in integrating diverse applications and data sources into unified systems.
• In‑depth understanding of software architecture principles, theories, and concepts.
• Knowledge of emerging technologies and trends in software architecture and systems integration.

• Strong ability to resolve highly complex problems using advanced technical knowledge and reasoning.
• Demonstrated success in…