Robotics Autonomy Engineer

The Opportunity

We are a robotics-focused engineering team at the intersection of autonomy, embedded systems, and the maritime domain. Our mission is to design, develop, and deploy advanced robotic platforms that operate in complex, contested, and unstructured ocean environments. We build perception, navigation, and control solutions for unmanned surface vessels (USVs), unmanned underwater vehicles (UUVs), and multi-agent maritime systems, enabling robust robotic capabilities that address real-world operational challenges at sea. Our work spans the full robotics stack—from hardware integration and sensor fusion to software architecture, field experimentation, and mission execution—with a rigorous focus on safety, reliability, and performance in dynamic maritime conditions.

Role Overview

The role will contribute to the design, development, and integration of robotic systems for maritime applications. The candidate will work within a multidisciplinary team to build and validate software and hardware modules across the perception, navigation, and control stack—translating operational requirements into deployable robotic solutions. They will participate in the full development lifecycle, from architecture and prototyping through integration, field testing, and iterative refinement, collaborating closely with systems engineers, hardware leads, and mission stakeholders.

Qualifications

• 3+ years of experience with robotics or systems engineering for equipment hardware, including circuits or sensors
• Experience with Robot Operating Systems, including ROS or ROS 2, for sensor integration, communication, and system orchestration
• Experience in C++ or Python for real-time robotics applications
• Knowledge of autonomous systems concepts such as state estimation, localization, path planning, and feedback control
• Knowledge of perception techniques including sensor fusion, object detection, and environmental mapping, such as SLAM, LiDAR, camera, or sonar
• Ability to develop and maintain software for embedded Linux systems, including version control, CI/CD, packaging, containerization, and documentation
• Ability to communicate complex technical topics effectively to a variety of audiences in written and verbal formats
• Ability to obtain a Secret clearance
• Bachelor's degree in CS, EE, Computer Engineering, or Robotics Engineering

Preferred Qualifications

• Experience developing architectures and algorithms for multi-agent, distributed collaborative autonomy
• Experience with Docker image development, container deployment, and Git-based version control strategies
• Experience with multi-agent coordination, swarm behaviors, collaborative autonomy frameworks, and simulation environments such as Gazebo, Isaac Sim, or marine-specific simulators, such as VRX, or UUV Simulator
• Experience with maritime robotic platforms such as unmanned surface vessels (USVs), autonomous underwater vehicles (AUVs), or unmanned underwater vehicles (UUVs)
• Knowledge of military strategy, operations, and tactics relevant to maritime autonomy
• Knowledge of maritime-specific sensing modalities including sonar/acoustic, radar, GPS/INS, and DVL, such as Doppler Velocity Log
• Ability to lead a technical team in strategy, project planning, and project execution
• Ability to professionally interact with clients to understand their needs, recommend courses of action, and present or demonstrate results
• Master's degree in CS or Engineering preferred; Doctorate degree in CS or Engineering a plus

Pay & Benefits

• Salary range: $77,600.00 to $176,000.00 (annualized USD)
• Health, life, disability, financial, and retirement benefits
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care
• Recognition awards program for exceptional performance
• Full-time and part-time employees working at least 20 hours per week are eligible for benefit programs

Schedule & Work Model

• Remote: May require occasional in-person work at a Booz Allen or customer facility
• Hybrid: Expected to work from a Booz Allen facility frequently, with potential customer facility visits
• Onsite: Work primarily performed at a Booz Allen office or customer facility
• Virtual employees generally expected to have cameras on during meetings