Vantor Logo

Vantor

AI/ML Software Engineer

Posted Yesterday
Be an Early Applicant
In-Office
Westminster, CO, USA
105K-169K Annually
Senior level
In-Office
Westminster, CO, USA
105K-169K Annually
Senior level
Develop and maintain AI-driven autonomous planning, scheduling, and optimization systems for Earth observation satellite operations. Build reinforcement learning algorithms, simulation and evaluation environments, and multi-objective optimization pipelines for satellite constellation tasking. Collaborate with aerospace engineers, mission operators, software engineers, and product teams to translate mission requirements into deployable systems. The role requires strong Java and Spring Boot experience, software engineering fundamentals, and machine learning or optimization expertise.
The summary above was generated by AI

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: 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 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.

HQ

Vantor Westminster, Colorado, USA Office

1300 W 120th Ave, Westminster, CO, United States, 80234

Vantor Colorado Springs, Colorado, USA Office

1975 Research Parkway, Suite 315 , Colorado Springs, CO, United States, 80920

Vantor Denver, Colorado, USA Office

Denver, CO, United States

Vantor Longmont, Colorado, USA Office

1601 Dry Creek Drive, Longmont, CO, United States, 80503

Similar Jobs at Vantor

4 Days Ago
In-Office
116K-169K Annually
Entry level
116K-169K Annually
Entry level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Supports the authorization, operation, and continuous monitoring of classified information systems. Responsibilities include RMF activities, security documentation, vulnerability and POA&M tracking, control assessments, incident response, compliance monitoring, security inspections, and collaboration with ISSMs, engineers, developers, DevSecOps teams, Government stakeholders, and mission users. The role also provides security guidance across Agile and cloud-based development environments.
Top Skills: Ai/MlAPIsCloud ComputingConfiguration ManagementContainerizationContinuous MonitoringDevsecopsDod Cybersecurity FrameworksEnterprise OntologiesIncident ResponseKnowledge GraphsNistOpenshiftRisk Management Framework (Rmf)Semantic WebVirtualizationVulnerability Scanning
4 Days Ago
In-Office
116K-169K Annually
Senior level
116K-169K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design, develop, test, deploy, and maintain scalable Java and Python applications, RESTful APIs, and microservices. Manage API integrations, databases, performance optimization, security, cloud services, and ongoing application support. Collaborate with frontend, product, and QA teams to deliver secure, reliable capabilities supporting national security missions.
Top Skills: AgileAWSAzureDjangoDockerFlaskGCPGitGraphQLJavaKubernetesMicroservicesMongoDBMySQLNoSQLPostgresPostmanPythonRestScrumSoapSpring BootSQLSwagger Ui
4 Days Ago
In-Office
116K-169K Annually
Senior level
116K-169K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design, develop, test, deploy, and maintain scalable Java and Python applications, RESTful APIs, and microservices. Integrate third-party services, manage SQL and NoSQL databases, optimize performance, troubleshoot issues, and apply security best practices. Collaborate with frontend, product, and QA teams while supporting cloud-based solutions and existing systems. The role requires an active TS/SCI clearance with CI polygraph and U.S. person eligibility.
Top Skills: AgileAWSAzureDjangoDockerFlaskGCPGitGraphQLJavaKubernetesMongoDBMySQLNoSQLPostgresPostmanPythonRestScrumSoapSpring BootSQLSwagger Ui

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account