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Robotics Autonomy Engineer

Booz Allen Hamilton

Robotics Autonomy Engineer

full-timePosted: Aug 25, 2026Updated: Sep 2, 2026CA, San Diego

Job Description

Robotics Autonomy EngineerThe 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.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.Join us. The world can't wait.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 sonarAbility 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 SimulatorExperience 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 LogAbility 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.CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.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 StatementAs 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 PolicyAI 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 ModelOur 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.Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Locations

  • CA, San Diego
  • WA, Bremerton

Skills Required

  • roboticsintermediate
  • Robot Operating Systemsintermediate
  • C++intermediate
  • autonomous systems concepts such as state estimationintermediate
  • perception techniques including sensor fusionintermediate
  • Docker image developmentintermediate
  • multi-agent coordinationintermediate
  • maritime robotic platforms such as unmanned surface vesselsintermediate
  • military strategyintermediate

Required Qualifications

  • 3+ years of experience with robotics or systems engineering for equipment hardware, including circuits or sensors (experience, 3 years)
  • Experience with Robot Operating Systems, including ROS or ROS 2, for sensor integration, communication, and system orchestration (experience)
  • Experience in C++ or Python for real-time robotics applications (experience)
  • Knowledge of autonomous systems concepts such as state estimation, localization, path planning, and feedback control (experience)
  • Knowledge of perception techniques including sensor fusion, object detection, and environmental mapping, such as SLAM, LiDAR, camera, or sonar (experience)
  • Ability to develop and maintain software for embedded Linux systems, including version control, CI/CD, packaging, containerization, and documentation (experience)
  • Ability to communicate complex technical topics effectively to a variety of audiences in written and verbal formats (experience)
  • Ability to obtain a Secret clearance (experience)
  • Bachelor’s degree in CS, EE, Computer Engineering, or Robotics Engineering (degree in cs)
  • 3+ years of experience with robotics or systems engineering for equipment hardware, including circuits or sensors (experience, 3 years)
  • Experience with Robot Operating Systems, including ROS or ROS 2, for sensor integration, communication, and system orchestration (experience)
  • Experience in C++ or Python for real-time robotics applications (experience)
  • Knowledge of autonomous systems concepts such as state estimation, localization, path planning, and feedback control (experience)
  • Knowledge of perception techniques including sensor fusion, object detection, and environmental mapping, such as SLAM, LiDAR, camera, or sonar (experience)
  • Ability to develop and maintain software for embedded Linux systems, including version control, CI/CD, packaging, containerization, and documentation (experience)
  • Ability to communicate complex technical topics effectively to a variety of audiences in written and verbal formats (experience)
  • Ability to obtain a Secret clearance (experience)
  • Bachelor’s degree in CS, EE, Computer Engineering, or Robotics Engineering (degree in cs)
  • Experience developing architectures and algorithms for multi-agent, distributed collaborative autonomy (experience)
  • Experience with Docker image development, container deployment, and Git-based version control strategies (experience)
  • 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)
  • Experience with maritime robotic platforms such as unmanned surface vessels (USVs), autonomous underwater vehicles (AUVs), or unmanned underwater vehicles (UUVs) (experience)
  • Knowledge of military strategy, operations, and tactics relevant to maritime autonomy (experience)
  • Knowledge of maritime-specific sensing modalities including sonar/acoustic, radar, GPS/INS, and DVL, such as Doppler Velocity Log (experience)
  • Ability to lead a technical team in strategy, project planning, and project execution (experience)
  • Ability to professionally interact with clients to understand their needs, recommend courses of action, and present or demonstrate results (experience)
  • Master’s degree in CS or Engineering preferred; Doctorate degree in CS or Engineering a plus (degree in cs or engineering preferred)
  • Experience developing architectures and algorithms for multi-agent, distributed collaborative autonomy (experience)
  • Experience with Docker image development, container deployment, and Git-based version control strategies (experience)
  • 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)
  • Experience with maritime robotic platforms such as unmanned surface vessels (USVs), autonomous underwater vehicles (AUVs), or unmanned underwater vehicles (UUVs) (experience)
  • Knowledge of military strategy, operations, and tactics relevant to maritime autonomy (experience)
  • Knowledge of maritime-specific sensing modalities including sonar/acoustic, radar, GPS/INS, and DVL, such as Doppler Velocity Log (experience)
  • Ability to lead a technical team in strategy, project planning, and project execution (experience)
  • Ability to professionally interact with clients to understand their needs, recommend courses of action, and present or demonstrate results (experience)
  • Master’s degree in CS or Engineering preferred; Doctorate degree in CS or Engineering a plus (degree in cs or engineering preferred)

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