Autonomous Satellite AI/ML Engineer

Vantor Holdings, Inc.; Herndon (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor Holdings, Inc. in Herndon, VA (onsite) is seeking a Software Engineer with strong AI/ML experience to join a team developing autonomous planning and optimization for Earth Observation satellite operations.

The role focuses on RL, operations research, and sequential decision-making to optimize heterogeneous satellite constellation collection plans. In‑office days are Tuesday–Thursday in Herndon or Westminster, CO, with occasional support required.

Qualifications

• Bachelor’s Degree in Computer Science or related field.
• 5+ years of software development experience with modern AI-assisted technologies.
• Strong Java programming skills, including Spring Boot in a micro‑service environment.
• Strong fundamentals: automated testing, CI/CD, version control, and containerized deployment.
• Experience developing machine learning and/or optimization systems.

Responsibilities

• 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 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.

Skills

5+ years experience

Java

Spring Boot

CI/CD

Automated testing

ML/Optimization

Team collaboration

Education

Bachelor's degree in CS or related field

Tools

Git

Docker

Job description

Vantor Holdings, Inc. in Herndon, VA (onsite) is seeking a Software Engineer with strong AI/ML experience to join a team developing autonomous planning and optimization for Earth Observation satellite operations.

The role focuses on RL, operations research, and sequential decision-making to optimize heterogeneous satellite constellation collection plans. In‑office days are Tuesday–Thursday in Herndon or Westminster, CO, with occasional support required.