AI/ML Software Engineer

Vantor

. Design and implement scalable reinforcement learning, optimization, and decision-making algorithms for satellite sensor and constellation tasking and planning .

Posted 9/28/2026full-timeUnited StatesMid-LevelSenior💰 $105,000 - $169,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable reinforcement learning and optimization algorithms, with a strong foundation in software engineering principles and experience in developing machine learning systems. Collaborates effectively with cross-functional teams to translate mission requirements into deployable AI solutions.

Highest-signal resume keywords

Reinforcement Learning AlgorithmsJava ProgrammingSpring Boot MicroservicesMachine Learning Systems DevelopmentAutomated Testing and CI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Reinforcement LearningOptimization AlgorithmsJavaSpring BootSoftware Engineering FundamentalsMachine LearningProbabilistic ModelingBayesian OptimizationGPU AccelerationContainerized Deployment

Tools & Technologies

AI-Assisted TechnologiesCI/CD ToolsVersion Control SystemsDistributed Training Infrastructure

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceAdditional Degrees in Data Science or Related Fields

Industry Keywords

Satellite SystemsOrbital MechanicsRemote SensingMission OperationsCollection Planning

Tech Stack

Tools & technologies

JavaRemote SensingSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design and implement scalable reinforcement learning, optimization, and decision-making algorithms for satellite sensor and constellation tasking and planning
Build high-fidelity simulation and evaluation environments for training and validating autonomous planning strategies under real-world operational constraints
Develop multi-objective optimization pipelines balancing 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 AI systems
Support an onsite team based in the Herndon, Virginia or Westminster, Colorado office
Work core in-office days on Tuesday, Wednesday, and Thursday; occasionally support customer or mission-related activities on other days

Requirements

What you’ll need

Must be a U.S. Person; the posting additionally states that eligibility requires being a U.S. citizen
Bachelor’s Degree in Computer Science or strongly related field
5+ years of software development experience
Recent use of modern AI-assisted technologies (e.g., Augment, Codex, etc.)
Strong Java programming skills
Experience working in a Spring Boot microservice environment
Strong software engineering fundamentals, including automated testing, CI/CD, version control, and containerized deployment
Experience developing machine learning and/or optimization systems
Additional degrees or certifications in Data Science, Aerospace Engineering, Applied Mathematics, Physics, or related field preferred
Experience with orbital mechanics, satellite systems, remote sensing, mission operations, and collection planning preferred
Experience with probabilistic modeling, uncertainty estimation, and Bayesian optimization algorithms preferred
Familiarity with GPU acceleration and distributed training infrastructure preferred
Experience with autonomous systems or multi-agent planning architectures preferred

Benefits

Comp & perks

Robust 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance
Incentive eligible with a target based on contribution, company performance, and/or individual results