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). Please review the job details below.  To be eligible for this position, you must be a U.S. Citizen .  Please review the job details below.   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 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.    What You’ll Do   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    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   Addition 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. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. 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: vantor.com 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 application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor s Career page at the top of each job posting. To apply, submit your application via Vantor s Career page. 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.

Requirements

Must-haves

Please review the job details below.
To be eligible for this position, you must be a U.S. Citizen .
Please review the job details below.
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 heterogenous satellite constellation collection plans.
What You’ll Do
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
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

Nice-to-haves

Addition 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
For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
The date of posting can be found on Vantor s Career page at the top of each job posting.
To apply, submit your application via Vantor s Career page.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

goaimljavaci/cdmachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

401(K)