Autonomous Systems and Artificial Intelligence Technical Program Manager
The Opportunity:
As an Autonomous Systems and Artifi cia l Intelligence ( AI ) Lead Scientist, you will be at the forefront of creating innovative research and development ( R & D ) solutions that drive the future of Intelligent Autonomous Systems for the Navy. Our team is seeking a visionary thi nk er with a deep understanding of AI, machine learning, and autonomous systems. The ideal candidate will be able to lead te chn ical teams through designing, architecting, implementing, integrating, testing, delivering, and maintaining autonomy and artifi cia l intelligence-based capabilities for multi-domain unmanned vehicles.
You will work with cross-functional teams to develop, implement, and manage strategic initiatives in autonomy, ensuring that project objectives and timelines are met. Additionally, you will identify and pursue new business opportunities through your strong ability to build and maintain relationships with key stakeholders and potential clients. Your expertise will drive our mission to push the boun dari es of scientific research and te chn ology development for key clients within our Navy and Marine Corps accounts.
Join us. The world can't wait.
You Have:
7+ years of experience in Program Management leading R & D efforts and developing concepts for t rus ted autonomous systems, artifi cia l intelligence, machine learning, or autonomy algorithms
Experience with AI, federated learning, data fusion, tracking, modern and classical control, or sensor resource management autonomy algorithms
Experience leading multidisciplinary, hybrid , and remote development teams on te chn ical projects, such as AI / ML algorithm design and autonomous sof tware development and integration
Experience documenting and presenting te chn ical ideas and progress to C-suite level executives and so cia lizing team accomplishments internally and externally through journal publications and conference participation
Experience with Python or C++ and machine learning sof tware implementation using machine learning libraries, including TensorFlow, Pytorch, or Keras
Experience with Git, JIRA, Agile development and DevSecOps, or MLOps workflows
Knowledge of ROS, ROS2, ROS-M, MOOS-IvP maritime autonomy architecture, Gazebo, Unity or Unreal simulations, or game development
Ability to work in a highly collaborative R & D environment, exploring and designing novel systems and e nga ging with academic researchers
Secret clearance
Master's degree
Nice If You Have:
Experience with capture management and business development
Experience in the design, development, and deployment of AI / ML algorithms for autonomous systems or C-UAS applications
Experience with maritime systems development, including autonomous surface and underwater systems
Experience with hardware, sof tware integration, EO / IR, passive and active radar integration, digital signal processing, and with in-field testing and validation of systems
Experience with large language models, autoencoders, generative adversarial networks, image processing, feature identification, and tracking, including pattern recognition, automatic target recognition, and anomaly detection
Experience with state-of-the-art game theory and optimization te chn iques
Experience with DevSecOps, MLOps, CI / CD systems, and asso cia ted development philosophies
Experience with implementation of unsupervised, supervised, or reinforcement learning approaches
Doctorate degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Sof tware Engineering
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; 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 $86,800.00 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 application process, 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.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific 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.
