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Vantor

AI-powered multi-source geospatial intelligence platform

Staff Software Development Engineer

Applied Machine LearningUpdated on Nov 15
Full-time$105k - $169.4k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science or a strongly related field is required.
  • At least five years of software development experience, including recent use of modern AI-assisted technologies such as Augment or Codex.
  • Strong Java programming skills, including experience in a Spring Boot microservice environment.
  • Strong software engineering fundamentals, including automated testing, continuous integration and continuous delivery, version control, and containerized deployment.
  • Experience developing machine learning and/or optimization systems.
  • Must be a U.S. citizen.
  • Additional degrees or certifications in Data Science, Aerospace Engineering, Applied Mathematics, Physics, or a related field are preferred.
  • Experience with orbital mechanics, satellite systems, remote sensing, mission operations, and collection planning is preferred.
  • Experience with probabilistic modeling, uncertainty estimation, and Bayesian optimization algorithms is preferred.
  • Familiarity with graphics processing unit acceleration and distributed training infrastructure is preferred.
  • Experience with autonomous systems or multi-agent planning architectures is preferred.

Responsibilities

  • Support the design and implementation of scalable reinforcement learning, optimization, and decision-making algorithms for satellite sensor and constellation tasking and planning.
  • Support the development of high-fidelity simulation and evaluation environments for training and validating autonomous planning strategies under real-world operational constraints.
  • Develop multi-objective optimization pipelines that balance coverage, revisit rate, latency, resource utilization, revenue, and mission success metrics.
  • Collaborate with aerospace engineers, mission operators, software engineers, and product teams to translate mission requirements into deployable artificial intelligence systems.

About the Company

Vantor

AI-powered multi-source geospatial intelligence platform

Vantor provides an AI-powered spatial intelligence platform that creates a real-time, unified picture from space, air, and ground sensors. Its Tensorglobe data engine fuses satellite imagery, drone feeds, and ground sensors to build a living 3D digital Earth and automates the entire intelligence cycle from tasking to analysis. Key products include WorldView for high-resolution imagery tasking, Raptor for GPS-denied navigation, and Sentry for automated site monitoring. Unlike competitors that mainly sell raw imagery, Vantor offers an integrated, subscription-based geospatial workflow and digital twin as a service, helping defense, intelligence, and commercial customers make faster, more informed decisions through a shared AI-ready view of the world.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Juan, Puerto Rico
Founded
1957

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