Autonomy Engineer

Autonomy Engineer

The Opportunity:

Conduct the research, development, integration, deployment, and evaluation of robotic and unmanned systems across multiple operational domains and DoD warfighter mission areas. Function at the intersection of software and hardware to design, build, test, and demonstrate new robotic capabilities that address complex client problems in sensing, autonomy, and human interaction. Apply advanced engineering skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction, and mentor and supervise team members.

Join us. The world can't wait.

You Have:

• 1+ years of experience developing autonomy algorithms such as localization and path planning for navigation

• 1+ years of experience developing and debugging software and algorithms in C/C++ for Linux-based embedded systems, including driver development and integration of sensors, platforms, and interfaces

• 1+ years of experience integrating Sensor Fusion and State Estimation algorithms, including Kalman filters, particle filters, SLAM, and VIO

• Knowledge of ROS2 to develop software for robotic applications

• Ability to obtain a Secret clearance

• Bachelor’s degree in Software Engineering, Computer Engineering, Electrical Engineering, or a Robotics field

Nice If You Have:

• 2+ years of experience with computer vision, such as OpenCV, camera models, and camera calibrations

• 2+ years of experience working with UAS platforms and PX4-based flight controllers

• 2+ years of experience working with software containerization methods and utilities such as Docker and Docker-compose

• Experience developing software following DevOps principles, including Agile, CI/CD, and test-driven development, and using automation tools, including pipelines and runners

• Experience briefing DoD leaders and customers, and collecting requirements for defense missions

• Experience with Universal Command and Control Interface (UCI) for UAS and Open Mission Systems (OMS)

• Experience with QGroundControl

• Secret clearance

• Master’s degree in Software Engineering, Computer Engineering, Electrical Engineering, or a Robotics field preferred; Doctorate degree in Software Engineering, Computer Engineering, Electrical Engineering, or a Robotics field a plus

• FAA Small UAS Part 107 Remote Pilot Certification

Clearance:

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

Compensation

At 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 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.

Commitment to Non-Discrimination

All 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.