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Machina Cognita Technologies

ML/AI systems for defense and industry

Software Engineer - Android

Mobile EngineeringConfirmed live in the last 24 hours
Full-timeVirginia, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Physics, or a related field.
  • One to five years of professional software development experience.
  • Proficiency in Java and Kotlin.
  • Proficiency in ObjectBox, SQLite, or another mobile database framework.
  • Proficiency in version control systems.
  • Proficiency in relational databases and distributed storage systems.
  • Proficiency in containerization technologies such as Docker or Kubernetes.
  • Strong communication, interpersonal, and collaboration skills.
  • Ability to travel to customer locations up to 25% of the time.

Responsibilities

  • Build proof-of-concept prototypes and client demonstrations to win contract bids and drive new business opportunities.
  • Design, develop, and maintain native Android applications.
  • Contribute to system architecture and technical design discussions.
  • Monitor system performance and identify and resolve issues to improve reliability.
  • Develop and maintain APIs, integrations, and backend services.
  • Run pilot implementations, troubleshoot issues, and drive resolution.
  • Collaborate with product managers and engineers to translate client needs into innovative solutions.
  • Travel to client destinations to facilitate product delivery and provide ongoing support and optimization.

About the Company

Machina Cognita Technologies

ML/AI systems for defense and industry

Machina Cognita Technologies builds machine-learning systems for government, defense, and education to support human–machine teaming, decision making, and predictive analytics at the edge. It uses large language models, computer vision, and reinforcement learning to turn data from telemetry, logs, and doctrine manuals into real-time, natural-language analyses for users like warfighters and airfield operators. Unlike some peers, it emphasizes hands-on, field-driven requirements by sending scientists into customer environments and focuses on defense-oriented AI/ML and edge computing. The goal is to win government contracts by delivering practical, demonstrable prototypes that translate tactical needs into usable AI-enabled solutions.

Company size
11-50
Company stage
Grant
Total funding
$3.8M
Headquarters
San Marcos, TX
Founded
2017

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