AI/ML Software 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 is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

To be eligible for this position, you must be a U.S.Citizen.

We are 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 heterogeneous 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.

What You’ll Do

• Support the design and implementation 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

Minimum Qualifications

• 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

Preferred Qualifications

• 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

Pay Transparency

To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

• The base pay for this position within Colorado is: $105,000.00 - $140,000.00 - $154,000.00 annually.
• The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually.

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The date of posting can be found on Vantor's Career page at the top of each job posting.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.