Robotics Autonomy Engineer
The Opportunity:

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.

You Have:

• 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

Nice If You Have:

• 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

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.