ZipRecruiter

Log In

1

Spatial Ai Jobs in Colorado (NOW HIRING)

Maxar

Sr. Platform Infrastructure Engineer

Westminster, CO

$109K - $148K/yr

  • Retirement

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... Experience implementing AI-assisted DevOps, AIOps, or autonomous operational tooling * Experience ...

Tetra Tech

GIS Manager

Colorado Springs, CO · On-site +1

$82K - $111K/yr

... AI-enabled tools, and collaborative GIS practices. This role requires a blend of advanced GIS expertise, project management, and cross-functional collaboration to translate complex spatial ...

Tetra Tech, Inc.

GIS Manager

Colorado Springs, CO · On-site

$82K - $111K/yr

... AI-enabled tools, and collaborative GIS practices. This role requires a blend of advanced GIS expertise, project management, and cross-functional collaboration to translate complex spatial ...

Esri

Software Development Engineer I

Denver, CO · On-site

... AI, and bring real-world spatial data into digital environments through reality capture and digital twins. Together, these capabilities empower users to explore and make decisions within rich ...

AllSTEM Connections

Electrical Design Technician

Denver, CO · On-site

$58K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... spatial clashes. • Deliverable Production: Convert the technical sketches and design intent of ... Preferred Qualifications • Direct design or modeling experience within Data Center, AI Factory ...

Vantor

Senior Systems / Electronics Engineer

Westminster, CO · Hybrid

$105K - $144K/yr

Our AI-powered spatial intelligence platform fuses data from the world's highest-resolution satellites with real-time sensor feeds from space, air, and ground to create the most accurate living ...

previous pagenext page

Showing results 21-40

All JobsSpatial Ai JobsSpatial Ai Jobs in Colorado

Spatial Ai information

What is Spatial AI?

Spatial AI refers to artificial intelligence systems designed to perceive, understand, and interact with the physical world in real time by processing spatial data. It combines elements of computer vision, 3D mapping, and sensor fusion to enable machines to interpret and respond to their environment, commonly used in robotics, augmented reality, and autonomous vehicles. Spatial AI technologies help machines understand objects, spaces, and movement, allowing for more advanced navigation and interaction within complex environments.

How does a spatial AI specialist typically collaborate with cross-functional teams on large-scale projects?

Spatial AI specialists often work closely with data scientists, software engineers, and domain experts to develop and deploy intelligent spatial solutions. Their role involves integrating geospatial data with machine learning models, requiring frequent communication to align on project objectives, data requirements, and deployment strategies. Collaboration is key, especially when interpreting spatial data outputs for non-technical stakeholders and adapting models based on feedback from end users. Strong teamwork skills help ensure that spatial insights are actionable and support broader organizational goals.

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

To excel as a Spatial AI Engineer, you need a solid background in computer vision, machine learning, and spatial data analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, GIS software, and experience with 3D data processing are commonly required, along with relevant certifications in AI or spatial technologies. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that help bridge technical solutions and real-world applications. These skills enable the development of innovative AI-driven spatial solutions that are accurate, efficient, and effectively meet organizational or client needs.

What is the difference between Spatial Ai vs GIS Analyst?

AspectSpatial AiGIS Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and spatial data processingRequires degree in geography, GIS, or related field; certifications like GISP are common
Work EnvironmentTech-focused, often in software development or data science teamsGovernment agencies, environmental firms, urban planning departments
Industry UsageEmerging in industries leveraging AI for spatial data analysisEstablished in mapping, urban planning, environmental management
Search & Comparison IntentUnderstanding AI-driven spatial analysis rolesTraditional GIS data analysis and mapping roles

Spatial Ai focuses on applying artificial intelligence to spatial data, often involving machine learning and advanced algorithms. GIS Analysts primarily work with geographic information systems to analyze and visualize spatial data. While both roles handle spatial data, Spatial Ai emphasizes AI integration, whereas GIS Analysts focus on traditional GIS tools and methods.

What jobs are available for spatial Ai?

Jobs related to spatial AI include roles such as geospatial data analyst, GIS developer, remote sensing specialist, and spatial data scientist. These positions often require skills in geographic information systems, programming, and data analysis, and may involve working with tools like ArcGIS, QGIS, or Python. Opportunities are available in industries like urban planning, environmental management, transportation, and technology companies focused on location-based services.

What are popular job titles related to Spatial Ai jobs in Colorado?

For Spatial Ai jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Spatial Ai jobs in Colorado look for?

The top searched job categories for Spatial Ai jobs in Colorado are:

What cities in Colorado are hiring for Spatial Ai jobs?

Cities in Colorado with the most Spatial Ai job openings:

Spatial Ai jobs near you

Sr. Platform Infrastructure Engineer

Maxar

Westminster, CO

$109K - $148K/yr

Full-time

Retirement

Posted 7 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. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

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.

Vantor is seeking aSenior Platform Infrastructure Engineerto design, deploy, andoperatemission-critical software platforms across AWS cloud environments and customer-ownedon-premiseinfrastructure. This role combines hands-on infrastructure engineering, deployment automation, platform architecture, and operational support for both commercial and defense customers.

The ideal candidate is both an architect and an operator - someone who can scale cloud and on-prem deployment platforms while building the engineering rigor, automation, and accountability needed to reduce operational chaos and improve delivery reliability.

Success in this role requires equal comfort designing infrastructure architectures, automating deployments, troubleshooting production systems, and supporting customer-facing deployment activities.

Key Responsibilities:

  • Design andmaintainAWS-based production infrastructure

  • Deploy and support customer-ownedon-premiseenvironments

  • Build repeatable deployment automation for cloud and hardware-based installations

  • Develop Infrastructure-as-Code standards for both AWS and customer environments

  • Collaborate with software engineering teams to improve deployment reliability

  • Support release engineering and production operations

  • Troubleshoot complex infrastructure, networking, and platform issues

  • Implement security best practices across cloud and on-prem environments

  • Support vulnerability remediation and compliance initiatives

  • Participate in architecture reviews and platform roadmap planning

  • Support customer-facing deployment and operational readiness activities

Minimum Qualifications

  • 7+ years in DevOps, Infrastructure Engineering, Platform Engineering, or Site Reliability Engineering

  • Experience deploying and operating production workloads in AWS

  • Experience supporting Linux-based infrastructure

  • Experience with Kubernetes and containerized applications

  • Experience with Infrastructure as Code (Terraform preferred)

  • Experience building andmaintainingCI/CD pipelines

  • Experience deploying andoperatingphysical infrastructure including servers, storage, networking, and virtualization platforms.

  • Strong troubleshooting and operational support skills

  • U.S. Citizenship

Preferred Qualifications

  • Experience supporting defense, aerospace, intelligence, or mission-critical operational systems

  • Experience with sovereign cloud, disconnected operations, or customer-managed deployments

  • Experience implementing AI-assisted DevOps, AIOps, or autonomous operational tooling

  • Experience defining centralized vs distributed platform engineering operating models

  • Familiarity with geospatial intelligence, satellite operations, or mission planning systems

  • Familiarity with Zero Trust and modernDevSecOpspractices

  • Bachelor's orMaster's degree in Computer Science, Engineering, or related field

Technologies & Domains of Interest

Candidates should bring strong familiarity with many of the following:

  • Dell Compute/Isilon, Juniper networking, Linux, Harvester

  • Kubernetes, Helm, Docker, OpenShift

  • Terraform, Ansible,Pulumi, CloudFormation

  • AWS, Azure, sovereign cloud, hybrid cloud

  • GitHub Actions, GitLab CI, Jenkins,ArgoCD, Artifactory

  • Observability and monitoring platforms

  • Infrastructure security and vulnerability management

  • Platform engineering and SRE practices

  • AI-assisted software operations and AIOps platforms

  • Distributed systems and mission-critical operational environments

Why This Role Matters

Vantor is building the infrastructure backbone for the next generation of spatial intelligence systems.

This role will directly shape how mission-critical software platforms are deployed, secured, automated, andoperatedacross global commercial and defense missions.

You will helpbuild, deploy, andmaintainthe operational foundation that enables autonomous systems, AI-powered mission planning, sovereign intelligence platforms, and real-time global situational awareness.

The future platform mustoperateanywhere:

  • In commercial cloud

  • In sovereign national environments

  • At the tactical edge

  • In disconnected and classified deployments

  • Across distributed global operations

Ideal Candidate Backgrounds

  • Platform engineering or DevOpsengineeringat cloud-native or mission-critical technology companies

  • Defense, aerospace, geospatial, or high-reliability operational environments

  • Experience scaling Kubernetes-based infrastructure and deployment ecosystems

  • Strongtechnical acumencombined with hands-on architectural credibility

Work Environment

  • Denver metro area

  • In-office collaboration expected 3-5 days per week

  • U.S. Citizenshiprequired

  • Clearance eligibility preferred

  • Occasional travel (10-25%) may berequiredto support customer deployments, installations, and operational readiness activities

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: $128,000.00 - $170,000.00 - $187,000.00 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.

Apply