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Remote Spatial Reasoning Jobs in Washington (NOW HIRING)

Remote Spatial Reasoning information

What are the key skills and qualifications needed to thrive as a Remote Spatial Analyst, and why are they important?

To thrive as a Remote Spatial Analyst, you need expertise in spatial analysis, geographic information systems (GIS), and a solid foundation in geography, cartography, or a related field, often supported by relevant degrees or certifications. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools, and data visualization platforms is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interpret spatial data and convey findings to diverse stakeholders. These competencies are essential for producing accurate spatial insights that inform decision-making in fields like urban planning, environmental management, and logistics.

What are some common challenges faced when working remotely in a spatial reasoning role, and how can they be addressed?

Working remotely in a spatial reasoning role often involves collaborating on complex, visual tasks such as 3D modeling, design, or data interpretation. Common challenges include limited access to high-performance computing resources, potential miscommunication due to lack of in-person interaction, and difficulties in sharing large visual files or models. To address these challenges, teams often use cloud-based collaboration platforms, schedule regular video meetings to clarify concepts, and establish clear file-sharing protocols. Leveraging specialized software that supports remote teamwork can also help maintain productivity and ensure everyone stays aligned.

What is a remote spatial reasoning job?

A remote spatial reasoning job involves tasks that require the ability to visualize and manipulate objects or data in space, often from a remote or work-from-home setting. These jobs can be found in fields like architecture, engineering, data analysis, or game design, where understanding spatial relationships is crucial. Remote workers use specialized software and tools to solve problems, design layouts, or analyze spatial data without being physically present at a worksite. Strong spatial reasoning skills help professionals interpret maps, create 3D models, or optimize workflows. These roles typically require a combination of technical expertise and the ability to work independently.
What cities in Washington are hiring for Remote Spatial Reasoning jobs? Cities in Washington with the most Remote Spatial Reasoning job openings:
Infographic showing various Remote Spatial Reasoning job openings in Washington as of May 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 94% Physical, and 6% Hybrid job distribution.

Software Engineer, AI Agents and Generative AI

Maxar

Herndon, VA • Remote

$124K - $206K/yr

Full-time

Retirement

Posted 26 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.

Team Overview:
Insightsisredefining how the world understandswhat'shappening on Earth. We are an AI-native, agentic intelligence platform built from the ground up tooperateat planetaryscale -transforming vast streams of geospatial data into predictive signals that matter. Powered bycutting-edgeGoogle Cloud infrastructure, frontier Gen AI models, and collaboration with Google Research on next-generation Earth AI, we are pushing the boundaries ofhow AI can help enterprisesee, reason about, and act on.Our mission is clear: deliver decision superiority in moments that matter. From national security to global enterprise operations, our platform provides contextual spatial awareness and anticipatory threat detection for customersoperatingin high-stakes environments. This is not incremental AI-this isintelligence engineered for global impact.Responsibilities
  • Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.
  • Implement multi-agent workflows using modern orchestration frameworks (e.g., Google ADK,LangChain,LangGraph) to enable autonomous reasoning, planning, and execution.
  • Integratestate-of-the-artLarge Language Models (GPT-4, Claude, Gemini, etc.) to power contextual analysis, hypothesis generation, and adaptive decision-making.
  • Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time.
  • Develop robust data ingestion and transformation layers to support pattern-of-life, detection, anomaly identification, and predictive analytics
  • Ensure secure, scalable integrations across cloud and enterprise environments.
  • Create feedback loops and reinforcement mechanisms to iteratively improve model reliability and operational trustworthiness.
  • Deploy andoperateAI systems in production using modern DevOps practices (containerization, orchestration, CI/CD).
  • Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as forcemultipliers for software design, implementation, testing, and documentation.
  • Contribute to shared engineering standards, documentation, and best practices for AI-first development.
Minimum Qualifications
  • Bachelor's degree inComputer Science, Systems Engineering, SoftwareEngineering, or a related field. Advanced degrees are preferred but notrequired.
  • Must be a U.S. Citizen
  • 3+ years of proven experience in a relevant technology domain, with preference forSoftware engineer and AI/ML
  • 'Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWSor GCP)
  • Significant software development experience withPython, JavaScript, or similar
Preferred Skills
  • Familiarity withvector databases, embeddings, and retrieval-augmentedgeneration(RAG)architectures.
  • Knowledge ofdistributed systems designand high-availability architectures supporting global-scale workloads.
  • Leverages AI for team velocityand upskilling, including using AI-assisted development heavily, prototyping quickly, automating repetitive engineeringtasksand moving faster than traditional SWE teams.
  • Excellent communication and interpersonal skills
  • Ability to work independently and collaboratively with remote and/or geographically distributed teams
  • Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within Colorado is: $124,000.00 - $206,000.00 annually. The base pay for this position within New Jersey is: $124,000.00 - $206,000.00 annually. The base pay for this position within Delaware is: $124,000.00 - $206,000.00 annually. The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $228,000.00 annually. The base pay for this position within California is: $143,000.00 - $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

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.