GNC & Autonomy Engineer Jobs
Listed on 2026-08-16
-
Engineering
Robotics, AI Engineer (Applied/Software)
GNC and Autonomy Engineer
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Job Title:
GNC and Autonomy Engineer
Compensation, Benefits, and
Employment Type:
- Duration:
Full-time/permanent - Salary Range: $115-$180K depending on experience
- Job Location:
Lexington, MA - Schedule:
M-F, standard business hours
Job#: bh18894
Overview:
This organization develops and delivers AI-enabled autonomy and robotic systems for mission-critical applications at the tactical edge. The team combines deep expertise in algorithms, controls, and machine learning with hands-on system integration and real-world deployment. Work spans the full lifecycle of advanced autonomy systems—from concept development through design, integration, field testing, and transition into operational environments across defense and intelligence domains.
Position
Description:
In this role, you will contribute to navigation and estimation efforts supporting autonomous systems across sea, ground, and air domains. Projects often involve GPS-denied environments, leveraging alternative sensing modalities such as:
Magnetic Vision-based Radio frequency systems. You will work on single-agent and multi-agent systems, contributing to both research and applied engineering efforts.
Key responsibilities include:
- Designing and implementing state estimation and navigation algorithms
- Supporting development across the full lifecycle (concept? field testing)
- Contributing to system integration and real-world deployment
- Collaborating with cross-functional teams across software, hardware, and research
- Exploring and prototyping advanced approaches, with opportunities for publishable research
Required Qualifications:
- Master's degree + 3 years of experience OR Bachelor's + 5 years of experience in:
Engineering Computer Science Robotics or related field - Hands-on experience with:
Autonomous or uncrewed systems Feedback control (robust, optimal, or adaptive) State estimation (Kalman filters, particle filters, SLAM, factor graphs) - Strong programming skills: C++ (required) Linux environment
- Ability to:
Write clean, maintainable, well-structured code Communicate technical concepts clearly to diverse audiences
Preferred / Nice-to-Have
Skills:
- ROS and/or Python
- GPS-denied navigation systems
- Machine learning applications in autonomy
- Computer vision algorithms and hardware
- Real-time systems / RTOS
- Experience in defense, robotics, or advanced R&D environments
Additional Requirements:
Ability to obtain and maintain a Top Secret DoD security clearance
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