You’ll guide the work we do for the maritime domain and the solutions we deliver for unmanned systems missions, defense mission planning, and national defense strategy. You will support Navy autonomous undersea system software by developing, integrating, testing, and sustaining mission‑critical software baselines. You will work with autonomy code, build and integration pipelines, hardware‑in‑the‑loop test environments, and troubleshooting workflows to ensure reliable, validated software releases for operational use. This role requires hands‑on technical engagement in a lab‑based integration environment and close coordination with multi‑disciplinary engineering teams.
Further your career with us as you help solve complex design, integration, and analytical problems for the maritime domain.
Join us. The world can’t wait.
You Have
5+ years of experience in software engineering, integration, or embedded or autonomy systems development
Experience designing, developing, and maintaining object-oriented software solutions
Experience in modern C++ development
Experience in high-level programming concepts and software design principles
Experience programming in ADA, C++, Java, or Python
Experience supporting CI/CD pipelines, automated build frameworks, software integration environments, software testing, debugging, or hardware‑in‑the‑loop or simulation evaluation
Knowledge of Python and Visual Basic and Agile Software Development methodologies
Ability to apply programming expertise across complex development environments
Top Secret clearance
Associate's degree
Nice If You Have
Experience developing software in Ada is preferred
Experience with Navy unmanned systems, including UUVs, USVs, or other maritime autonomous platforms
Experience developing software for defense autonomous systems, distributed architectures, or real‑time embedded frameworks
Experience working with Linux‑based development, Git, static analysis tools, or test automation frameworks
Experience with fault‑injection testing, code‑level defect reproduction, or integration lab workflows
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related technical field
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
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 $86,900.00 to $198,000.00 (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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.
