Software Engineer III
Scientific Research
Description
- Designing, developing, and integrating advanced machine-learning solutions and intelligent plugins for the Tactical Assault Kit (TAK) ecosystem, including TAKX extensions, Mission Command Platforms (MCPs), and associated APIs
- Creating scalable AI/ML pipelines, developing custom plugins, and configuring secure API services that enable real-time data fusion, analytics, and decision support for mission-critical operations
- Serving as the primary technical authority on AI/ML integration within the TAK environment and collaborating with government program officials, contractors, and other stakeholders to ensure secure, performant, and compliant solutions
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, or a related field from an ABET-accredited or CAE-designated institution
- At least one of the following DoD-approved baseline certifications or an equivalent recognized by the DoD Cyber Workforce Framework:
- Certified Information Systems Security Professional (CISSP)
- Certified Information Security Manager (CISM)
- DoD-approved AI/ML certifications (e.g., DoD AI/ML Engineer, DoD IA/IA 8570.01-M AI/ML).
- Minimum 2 years of progressive, full-time experience developing AI/ML models, APIs, and software plugins for mission-critical systems, with at least 1 years focused on the TAK/TAKX environment or comparable tactical platforms
- Ability to design, implement, and optimize AI/ML pipelines; develop and document secure APIs; integrate plugins with TAKX and MCPs; perform performance tuning; and troubleshoot production issues in high-availability environments
- Deep understanding of the TAK ecosystem, TAKX plugin architecture, and Mission Command Platform (MCP) integration points
- Proficiency in Python and Java for AI/ML model development, data processing, and API creation
Experience with data streaming and messaging technologies such as Apache Kafka, RabbitMQ, or equivalent - Familiarity with identity and access management solutions (e.g., Keycloak, OAuth 2.0, OpenID Connect) for securing APIs and plugin communications
Hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines for rapid deployment of AI/ML services - Knowledge of cloud environments (AWS GovCloud, Azure Government) and serverless compute (AWS Lambda, Azure Functions) as they relate to AI/ML workloads
Ability to produce technical documentation, API specifications (OpenAPI/Swagger), and integration guides for both technical and non-technical audiences - Proven track record in performance monitoring, logging, and observability of AI/ML services (e.g., Prometheus, Grafana, ELK stack)
- Strong communication and stakeholder-management skills; capable of leading cross-functional work streams and delivering clear status reports
- Experience mentoring junior engineers and fostering best practices in AI/ML development, testing, and security
- Preferred additional certifications: Certified Kubernetes Administrator (CKA), Certified Cloud Security Professional (CCSP), or DoD-specific 8570.01-M IA/IA C/IA E credentials
Ability to obtain and maintain higher-level clearance (Top Secret/SCI) as mission requirements evolve
- Domestic travel: Up to 10 % of the year (approximately two weeks) for site visits, security assessments, or briefings at other DoD locations
- International travel: Infrequent, typically less than 5 % of the year, only when needed for coordination with overseas partners and subject to clearance approval
Vacancy posted 3 days ago
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