Autonomous Systems and Artificial Intelligence Researcher, Senior
The Opportunity :
As an Autonomous Systems and Artificial Intelligence (AI) Researcher, 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 thinker with a deep understanding of AI, machine learning, and autonomous systems to lead technical teams through designing, architecting, implementing, integrating, testing, delivering, and maintaining autonomy and artificial intelligence-based capabilities for multi-domain unmanned vehicles.
In this role you will work in a highly collaborative R&D environment, exploring and designing novel systems and academic researchers.
You will combine your passion for learning with your deep technical expertise to lead teams in the invention of disruptive hardware and software technologies that advance state of the art AI-enabled autonomous solutions.
Join us. The world can't wait.
You Have :
- Experience in R&D including leading successful R&D captures, writing winning proposals, and developing close relationships with government research and development program managers at Navy Acquisition, ONR, or the DoD
- Experience leading R&D efforts and developing concepts for trusted autonomous systems, artificial 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 technical projects, such as AI / ML algorithm design and autonomous software development and integration, including live demonstrations with military hardware prototypes
- Experience documenting and presenting technical ideas and progress to C-suite level executives and socializing team accomplishments internally and externally through journal publications and conference participation
- Experience with Python or C++ and machine learning software 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
- Secret clearance
- Master's degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Software Engineering
Nice If You Have :
- Experience with maritime systems development, including autonomous surface and underwater systems
- Experience with hardware, software integration, EO / IR, passive and active radar integration, digital signal processing, and with in-field testing and validation of systems
- Experience with edge processing technologies and embedded systems
- Experience with publish-subscribe service-oriented, containerized and portable architectures
- 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 techniques
- Experience with Amazon Web Services (AWS) or other cloud-based architecture
- Experience with DevSecOps, MLOps, CI / CD systems, and associated 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 Software 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 $96,700.00 to $220,000.00 (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.
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.
EEO Commitment
We're an equal employment opportunity / affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
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