GNC & Autonomy Engineer (Associate Staff)
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Job Location:
Lexington County, SC - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
GNC and Autonomy Engineer-Associate Staff
Location: Lexington MA (Onsite 5 days/week potential hybrid flexibility)
Citizenship: U.S. Citizenship required (no clearance required at start)
About the Team
The Tactical Autonomy Group develops and delivers AI-enabled autonomy and robotic systems where it counts - at the tactical edge. As an FFRDC we combine academic depth in algorithms controls and machine learning the execution speed of industry and direct mission pull from operational end-users to solve problems others cant. We dont stop at papers: we design build integrate field-test and transition autonomy stacks - spanning perception decision-making learning and control - into real operations across the DoD and Intelligence Community.
Position Description
In this role you will contribute to navigation and estimation teams that are developing autonomous systems and payloads for sea ground and air domains. Many of the projects incorporate GPS-denied capabilities (e.g. magnetic vision radio frequency) for single and multi-agent concepts. Individual contributors leverage experience in state estimation optimization and object-oriented programming to contribute throughout the full lifecycle of a project from concept definition to field addition to direct project contributions staff are encouraged to explore cutting-edge approaches and execute publishable research.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Why This Role
Location: Lexington MA (Onsite 5 days/week potential hybrid flexibility)
Citizenship: U.S. Citizenship required (no clearance required at start)
About the Team
The Tactical Autonomy Group develops and delivers AI-enabled autonomy and robotic systems where it counts - at the tactical edge. As an FFRDC we combine academic depth in algorithms controls and machine learning the execution speed of industry and direct mission pull from operational end-users to solve problems others cant. We dont stop at papers: we design build integrate field-test and transition autonomy stacks - spanning perception decision-making learning and control - into real operations across the DoD and Intelligence Community.
Position Description
In this role you will contribute to navigation and estimation teams that are developing autonomous systems and payloads for sea ground and air domains. Many of the projects incorporate GPS-denied capabilities (e.g. magnetic vision radio frequency) for single and multi-agent concepts. Individual contributors leverage experience in state estimation optimization and object-oriented programming to contribute throughout the full lifecycle of a project from concept definition to field addition to direct project contributions staff are encouraged to explore cutting-edge approaches and execute publishable research.
Key Responsibilities
- Design and develop autonomous navigation and estimation systems for uncrewed platforms
- Build and implement GPS-denied navigation solutions using alternative sensing (e.g. vision LiDAR RF magnetic)
- Develop and deploy GNC algorithms including feedback control and state estimation
- Contribute to system architecture software development and integration efforts
- Participate in field testing and real-world deployment of autonomous systems
- Collaborate across multidisciplinary teams to deliver mission-ready capabilities
- Explore and contribute to cutting-edge research in autonomy and robotics
Required Qualifications
- Bachelors degree in Engineering Computer Science or related field with 5 years of experience or Masters degree with 3 years of experience
- Hands-on experience with autonomous systems or robotics
- Strong background in state estimation (e.g. Kalman filters SLAM factor graphs) and control systems
- Proficiency in C development within a Linux environment
- Experience building clean maintainable and scalable software systems
- Strong communication skills with the ability to present technical concepts clearly
Preferred Qualifications
- Experience with GPS-denied navigation systems
- Familiarity with ROS and/or Python
- Experience with computer vision LiDAR or sensor fusion
- Exposure to machine learning in autonomy applications
- Experience with real-time systems or RTOS
- Background in aerospace or air-domain autonomy systems
- Ability to obtain and maintain a Top Secret clearance (not required to start)
Why This Role
- Work on cutting-edge autonomy systems deployed in real-world environments
- Solve complex challenges in GPS-denied navigation
- Contribute to impactful programs across air land and sea domains
- Join a team that bridges research and real-world deployment
