1

Geospatial Ai Jobs in Colorado (NOW HIRING)

Lead AI Engineer

Denver, CO · On-site

$147K - $202K/yr

Develop multimodal data pipelines that convert BIM, Autodesk, geospatial, document, and operational data into structured, queryable knowledge. * Deliver AI workflows supporting design, construction ...

Lead AI Engineer

Denver, CO · On-site

$147K - $202K/yr

Develop multimodal data pipelines that convert BIM, Autodesk, geospatial, document, and operational data into structured, queryable knowledge. * Deliver AI workflows supporting design, construction ...

Senior Algorithm Engineer

Westminster, CO · On-site

$106K - $145K/yr

... AI-enabled workflows and engineering practices. Qualifications : Required : • Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote Sensing, Geospatial ...

Product Designer

Broomfield, CO · Hybrid

$115K - $130K/yr

This role requires a unique combination of skills: deep expertise in geospatial and 3D interfaces, mastery of modern design tools including AI-powered workflows, and the ability to work in a fast ...

Product Designer

Broomfield, CO · On-site

$115K - $130K/yr

This role requires a unique combination of skills: deep expertise in geospatial and 3D interfaces, mastery of modern design tools including AI-powered workflows, and the ability to work in a fast ...

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Experience with geospatial, photogrammetric, or remote sensing applications. * Experience with machine learning frameworks and modern AI technologies. * Experience transitioning research concepts ...

Apply and support AI / GeoAI applications for geospatial analysis where appropriate * Prepare and maintain metadata, documentation, and standard GIS workflows REQUIRED QUALIFICATIONS * 5+ years ...

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

Experience with geospatial, photogrammetric, or remote sensing applications. * Masters or Ph.D. in a related technical discipline. * Experience with machine learning frameworks and modern AI ...

Apply and support AI / GeoAI applications for geospatial analysis where appropriate * Prepare and maintain metadata, documentation, and standard GIS workflows REQUIRED QUALIFICATIONS * 5+ years ...

next page

Showing results 1-20

Geospatial Ai information

What are the key skills and qualifications needed to thrive as a geospatial AI specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

How do geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
What are popular job titles related to Geospatial Ai jobs in Colorado? For Geospatial Ai jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Geospatial Ai jobs? Cities in Colorado with the most Geospatial Ai job openings:
Infographic showing various Geospatial Ai job openings in Colorado as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Software Development Engineer/Features Engineering Lead Basemaps Team

Maxar Technologies, Inc.

Westminster, CO • On-site

Full-time

Retirement

Posted 24 days ago


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.
Software Development Engineer/Features Engineering Lead
Basemaps Team
About Vantor
Vantor is seeking an experienced Software Development Engineer to join our Basemaps team. We are looking for a hands-on technical leader who is passionate about solving complex problems and delivering customer-focused solutions. The ideal candidate is eager to learn and develop technologies related to vector data processing, remote sensing, geospatial systems, and AI-driven applications.
This is an exciting opportunity to work at the intersection of cutting-edge geospatial and photogrammetric technologies and modern software engineering. Our solutions are deployed primarily in AWS cloud environments and support advanced data processing and analytics capabilities.
Responsibilities
As an Engineering Lead for feature data, you will:
  • Own and maintain the technical roadmap for our feature data products.
  • Establish engineering priorities in partnership with product owners, engineering leadership, platform teams, and operational stakeholders.
  • Provide architectural direction for scalable geospatial and vector data-processing systems.
  • Remain hands-on in software development, prototyping, code reviews, debugging, performance optimization, and production support.
  • Evaluate and adopt modern open-source technologies for geospatial processing, distributed computing, workflow orchestration, and data management.
  • Balance near-term delivery priorities with team members during stand-ups.
  • Demonstrate working software and contribute to iterative product development.
  • Monitor and maintain AWS-based system health and performance.
  • Participate in system design, requirements gathering, and technical documentation.
  • Collaborate across teams to coordinate dependencies and deliver integrated capabilities.
  • Promote the effective use of AI-assisted development tools to improve engineering productivity, software quality, and documentation.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Geography, or a related technical field.
  • 8+ years of professional experience.
  • Demonstrated experience serving as a lead engineer or technical owner for a software platform, product, or major technical initiative.
  • Strong understanding of Docker containerization technologies.
  • Strong working knowledge of GDAL/OGR, PostgreSQL, PostGIS, spatial indexing, coordinate reference systems, and spatial data-processing concepts.
  • Proven ability to provide technical guidance and mentor other engineers without direct management responsibility.
  • Familiarity with Agile software engineering practices and methodologies.

Preferred Qualifications
  • Master's degree in Computer Science, Software Engineering, Geospatial Science, or a related field, or an equivalent combination of education and experience.
  • Experience with modern geospatial technologies and formats, including GeoParquet, DuckDB spatial, vector tiles, FlatGeobuf, GeoPackage, or Cloud Optimized GeoTIFF.
  • Experience working throughout the full software development lifecycle.
  • Knowledge of AWS or comparable cloud platforms.
  • Experience with CI/CD pipelines using Jenkins or similar tools.
  • Knowledge of geospatial, geodesic, photogrammetric, or remote sensing technologies.
  • Strong analytical and troubleshooting skills.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
  • Self-motivated, collaborative, and detail-oriented with a willingness to work closely with technical systems and processes.

What We Offer
  • Opportunity to work with cutting-edge geospatial, AI, and cloud technologies.
  • Collaborative and innovative engineering culture.
  • Exposure to modern software development practices and cloud-native architectures.
  • Professional growth and learning opportunities in emerging technologies.

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: $124,000.00 - $165,000.00 - $181,500.00 annually.
• The base pay for this position within New Jersey is: $124,000.00 - $165,000.00 - $181,500.00 annually.
• The base pay for this position within Delaware is: $124,000.00 - $165,000.00 - $181,500.00 annually.
• The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $182,000.00 - $200,200.00 annually.
• The base pay for this position within California is: $143,000.00 - $190,000.00 - $209,000.00 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.

Maxar Technologies logo

About Maxar Technologies

Sourced by ZipRecruiter

Maxar Technologies, headquartered in Denver, CO, US, is a space technology company established in 1969. Operating in the Aerospace Industry, Maxar's key areas of business include Earth Intelligence and Space Infrastructure. The products they offer are critical for global communications, environmental monitoring, national security, intelligence operations, disaster response, and more. Passionate about unlocking the potential of space, Maxar's mission is "to build a better world by harnessing space technology". The company prides itself on advancing state-of-the-art technology, delivering exceptional customer service, and driving growth.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1969