Vantor Logo

Vantor

AI/ML Software Engineer

Posted 17 Days Ago
In-Office
Herndon, VA
105K-169K Annually
Senior level
In-Office
Herndon, VA
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.

Similar Jobs at Vantor

Yesterday
In-Office
116K-169K Annually
Mid level
116K-169K Annually
Mid level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Analyze and prepare structured and unstructured intelligence datasets for MASINT missions. Automate data preparation and reporting with Python and SQL, query databases and APIs, identify data-quality issues, support data pipelines, curate metadata and LLM training datasets, perform statistical analysis and visualization, and communicate findings to technical and nontechnical stakeholders. Maintain documentation and collaborate with data engineering, DevOps, and Intelligence Community teams.
Top Skills: AWSAzureClairvoyantDockerGCPGisKubernetesLlmNlpPandasPysparkPythonRancherSQLTableau
Yesterday
In-Office
99K-145K Annually
Mid level
99K-145K Annually
Mid level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Work with customers and internal teams to integrate, test, and improve Raptor UAV navigation software on edge platforms. Perform field integration, characterize product performance, capture technical requirements, contribute code, and support system design across hardware and software for GPS-denied navigation solutions.
Top Skills: ArdupilotCC++Computer VisionCross-CompilationEmbedded LinuxFfmpegGisGstreamerImage ProcessingKernel Device DriversMp4Mpeg-TsNvidia JetsonPx4PythonQualcomm SocsRaspberry PiRtspSerialShell ScriptingTcp/IpToolchainsWi-Fi
Yesterday
In-Office
200K-250K Annually
Entry level
200K-250K Annually
Entry level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Develop and maintain full-stack web applications for map creation and geospatial visualization. Build front-end mapping tools and back-end APIs, data workflows, and persistence services. Integrate spatial databases, GIS data, OGC services, and enterprise systems while preserving geometry, topology, projections, attribution, and metadata. Support geospatial data ingestion, validation, testing, documentation, Agile delivery, performance troubleshooting, and secure software development.
Top Skills: AngularArcgis EnterpriseArcgis ProCi/CdCsvGdal/OgrGeojsonGeopackageGeotiffGeotoolsJavaJavaScriptKml/KmzLeafletMapbox Gl JsMaplibreNode.jsOgc ServicesOpenlayersOracle SpatialPortal For ArcgisPostgisPostgresPythonQgisReactRest ApisShapefileTypescriptVueWfsWmsWmts

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account