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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