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Geospatial Ai Jobs in Oregon (NOW HIRING)

Senior Forward Deployed Engineer

OR · On-site +1

$104K - $143K/yr

Leverage the latest AI tooling and an AI-first mindset to drive rapid iteration, deliver value ... Experience with geospatial software development and concepts (e.g., Rasterio, Fiona, Shapely ...

Site Reliability Engineer

Lake Oswego, OR · On-site

$105K - $145K/yr

Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for ... geospatial and transportation. Whether it's helping customers build and maintain infrastructure ...

Senior Software Engineer, Digital Twin Platform

OR · On-site +1

$122K - $161K/yr

You can read more about some of the things our team is doing here: democratizing AI for grocers of ... Experience with real-time, streaming, or geospatial services and systems in production.

Senior GPU Raytracing Engineer

OR · On-site +1

$104K - $143K/yr

Knowledge of geospatial coordinate systems and tiling schemes. Your base salary will be determined ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Senior Software Engineer, Front-end - D&I Solutions

OR · On-site +1

$122K - $161K/yr

Experience with modern testing frameworks and CI/CD practices and leveraging AI tools to enhance productivity. * Background in geospatial technologies, remote sensing, or the defense and intelligence ...

Senior Software Engineer, Storage Infrastructure

OR · On-site +1

$122K - $161K/yr

Fluency with AI-assisted development tools (e.g. Claude, Copilot) as part of your daily engineering ... Experience working with geospatial data before, even tangentially Application Deadline: September ...

Experience designing geospatial, mapping, dashboard, or other complex data-visualization interfaces. * Experience using AI-assisted design or prototyping tools in the workflow. Education Requirements:

Senior Software Engineer, Storage Infrastructure

OR · On-site +1

$122K - $161K/yr

Fluency with AI-assisted development tools (e.g. Claude, Copilot) as part of your daily engineering ... Experience working with geospatial data before, even tangentially Application Deadline: November 25 ...

Showing results 41-53

Geospatial Ai information

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 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.

What are popular job titles related to Geospatial Ai jobs in Oregon?

For Geospatial Ai jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Geospatial Ai jobs?

Cities in Oregon with the most Geospatial Ai job openings:

Infographic showing various Geospatial Ai job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 80% In-person, 2% Hybrid, and 18% Remote job distribution.

Senior Forward Deployed Engineer

Planet

OR • On-site, Remote

$104K - $143K/yr

Full-time, Part-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago


Job description

About the Role:

We are seeking a Senior Forward Deployed Engineer to help develop transformative solutions for our most strategic accounts, starting with our Global Defense and Security customers. In this role, you will work directly with key partners, acting as a senior technical contributor and hands-on builder within a collaborative engineering team. Your mission will be to tackle complex, mission-critical customer challenges by building high-impact software solutions.

You will have a high degree of autonomy to design and build what is needed, turning ambiguous requirements into functional and reliable software. Your work will directly contribute to delivering on critical customer commitments and will help inform future product development. This role is ideal for an individual contributor who thrives in dynamic environments and enjoys taking ownership of complex technical problems from design to delivery.

This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week.

Impact You'll Own:

  • Contribute to the full development lifecycle: from discovery and decomposition to designing, building, and deploying bespoke solutions for customer challenges.
  • Design and develop robust, full-stack software, including front-end, back-end, data integration, cloud infrastructure (e.g., AWS), and CI/CD pipelines.
  • Work directly with customers to understand their operational challenges and translate them into clear technical requirements.
  • Identify reusable patterns in customer solutions to inform broader platform development.
  • Leverage the latest AI tooling and an AI-first mindset to drive rapid iteration, deliver value quickly, and adapt to evolving requirements with a bias for action.
  • Mentor other engineers, contribute to code reviews, and help foster a collaborative team environment.
  • Deliver critical commitments on time, understanding their direct impact on customer relationships and business objectives.

What You Bring:

  • 6+ years of relevant work experience in software engineering or in an equivalent technical role.
  • Experience with geospatial software development and concepts (e.g., Rasterio, Fiona, Shapely, OpenLayers, GDAL).
  • AWS or GCP experience.
  • Proficiency in Python.
  • Excellent knowledge of software engineering best practices, including coding standards, code reviews, source control management, and testing methodologies.
  • Excellent customer engagement skills, with the ability to communicate complex technical concepts to diverse audiences.
  • Experience with fast, iterative development cycles and an ability to adapt to shifting requirements.
  • Willingness to travel 30-50% to customer sites within the region.
  • Must have a current active security clearance (TS or TS/TSI).

What Makes You Stand Out: 

  • Experience with JavaScript, Java, Go or C#.

Application Deadline:

September 116, 2026 by 11:59p PT

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

  • Comprehensive Medical, Dental, and Vision plans
  • Health Savings Account (HSA) with a company contribution
  • Generous Paid Time Off in addition to holidays and company-wide days off 
  • 16 Weeks of Paid Parental Leave
  • Wellness Program and Employee Assistance Program (EAP)
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Commuter Benefits (if local to an office)
  • Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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