AI/ML Software Engineer

Vantor • Herndon, VA

21h • Onsite

About The Position

Vantor is seeking a Software Engineer with strong AI/ML experience to join a team that develops and maintains autonomous planning, scheduling, and optimization systems for advanced Earth Observation satellite operations. This role focuses on applying reinforcement learning (RL), operations research, and sequential decision-making techniques to optimize heterogenous satellite constellation collection plans. You will be joining an onsite team located in the Herndon, VA or Westminster, CO office with core in-office days on Tuesday, Wednesday, and Thursdays. Other days may occasionally be required to support customer or mission-related activities.

Requirements

• Bachelor’s Degree in Computer Science or strongly related field
• 5+ years of software development experience with recent use of modern AI-assisted technologies (e.g., Augment, Codex, etc.)
• Strong Java programming skills, including working in a Spring-boot micro-service environment
• Strong software engineering fundamentals including automated testing, CI/CD, version-control, and containerized deployment
• Experience developing machine learning and/or optimization systems
• Must be a U.S. Person (U.S. citizen, permanent resident, Asylee, or Refugee)
• Must be a U.S. Citizen

Nice To Haves

• Additional degrees or certifications in Data Science, Aerospace Engineering, Applied Mathematics, Physics, or related field
• Experience with orbital mechanics, satellite systems, remote sensing, mission operations, and collection planning
• Experience with probabilistic modeling, uncertainty estimation, and Bayesian optimization algorithms
• Familiarity with GPU acceleration and distributed training infrastructure
• Experience with autonomous systems or multi-agent planning architectures

Responsibilities

• Support the design and implement of scalable reinforcement learning (RL), optimization, and decision-making algorithms for satellite sensor and constellation tasking and planning
• Support building 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

Benefits

• 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 achieved

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level