The Opportunity
Are you a current student looking to apply your technical skills to real-world cybersecurity and mission challenges supporting Navy efforts? Join our team for a hands-on learning experience where you'll work alongside experienced engineers and cybersecurity specialists on meaningful projects that directly support fleet and ashore operations.
This internship is designed for students pursuing degrees in computer science, cybersecurity, or related technical fields who want to gain practical experience in software development, integration, and AI-enabled automation within a mission-focused, secure environment. You'll contribute to real client work while receiving mentorship and building skills that matter in government technology consulting.
This is a role designed to support our team throughout the academic year as you complete your degree. The structure allows you to balance meaningful client work with your academic commitments. You'll be part of a team that values curiosity, clear communication, and the ability to learn quickly in dynamic problem spaces. This role is located in San Diego, CA.
Join us. The world can't wait.
You Have
- Experience writing and debugging code in languages such as Python, in professional, personal, or academic environments
- Experience with fundamental programming concepts, including data structures, control flow, functions, and basic debugging
- Experience with version control using Git in professional, personal, or academic environments
- Ability to display a curiosity and willingness to learn in ambiguous, mission-driven environments
- Ability to communicate technical concepts clearly
- Ability to obtain a Secret clearance
- Scheduled to obtain a Bachelor's degree in CS, Computer Engineering, Cybersecurity, Information Systems, or a STEM field by Summer 2027
Nice If You Have
- Experience in software development, data science, or cybersecurity in professional or academic environments
- Experience with REST APIs, web services, or system integration in professional or academic environments
- Experience with AI/ML concepts, frameworks such as scikit-learn, TensorFlow, or PyTorch, or LLM tools
- Experience with cloud platforms such as AWS, Azure, or GCP, or containerization such as Docker
- Experience with cybersecurity, networking, or federal IT systems in professional or academic environments
- Experience with Agile or collaborative software development practices
- Possession of excellent verbal and written communication skills
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 $61,900.00 to $141,000.00 (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.
