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Geospatial Intelligence Jobs in Seattle, WA (NOW HIRING)

Microsoft

Software Engineer II

Redmond, WA · On-site

$133K - $219K/yr

The Search Places team uses geospatial knowledge and advanced Artificial Intelligence technologies to bring high quality Location Search capabilities for people and businesses around the world We are ...

SpaceX

Sr. Platform Integrity Analyst (Starlink)

Redmond, WA · On-site +1

$120K - $175K/yr

... intelligence, or investigations in lieu of a degree * 4+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), geospatial tools (e.g., ArcGIS), and/or ...

SpaceX

Platform Integrity Manager (Starlink)

Redmond, WA · On-site +1

$135K - $205K/yr

... intelligence, or investigations in lieu of a degree * 6+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), geospatial tools (e.g., ArcGIS), and/or ...

SpaceX

Platform Integrity Manager (Starlink)

Redmond, WA · On-site

$135K - $205K/yr

... intelligence, or investigations in lieu of a degree * 6+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), geospatial tools (e.g., ArcGIS), and/or ...

Amazon

Data Engineer, Global Planning, Amazon Leo

Bellevue, WA · On-site

$129K - $155K/yr

... Geospatial datasets from external & internal APIs using AWS big data technologies (Glue, S3 ... intelligence analytics using ETL/ELT processes experience - 1+ years of developing and operating ...

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Showing results 21-40

All JobsGeospatial Intelligence JobsGeospatial Intelligence Jobs in Seattle, WA

Geospatial Intelligence information

See Seattle, WA salary details

$71.2K

$88.1K

$105.3K

How much do geospatial intelligence jobs pay per year?

As of Aug 11, 2026, the average yearly pay for geospatial intelligence in Seattle, WA is $88,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $93,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in geospatial intelligence roles?

One common challenge in Geospatial Intelligence roles is managing and analyzing large volumes of complex spatial data from various sources, including satellite imagery, aerial photography, and sensor feeds. GEOINT professionals must ensure data accuracy and timeliness, often working under tight deadlines to support critical decision-making. They also need to stay current with evolving technologies and analytical tools, while collaborating closely with multidisciplinary teams such as analysts, IT specialists, and field operators. Balancing technical skills with effective communication is key to translating geospatial insights into actionable intelligence.

Is geospatial intelligence a good career field?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental decision-making. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances or specialized certifications. The field offers opportunities in government agencies, defense contractors, and private sector companies with a focus on technology and analytical expertise.

What are the key skills and qualifications needed to thrive as a geospatial intelligence analyst?

To thrive as a Geospatial Intelligence Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or related fields, often supported by a relevant degree. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing technologies, and data visualization tools is typically required, along with certifications like GEOINT Professional Certification (GPC) being advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights. These skills are essential for accurately analyzing geospatial data, supporting decision-making, and contributing to national security or commercial objectives.

What is the difference between Geospatial Intelligence vs GIS Analyst?

AspectGeospatial IntelligenceGIS Analyst
Required CredentialsOften requires security clearance, GIS certifications, and relevant degreesTypically requires GIS certifications and a degree in geography or related field
Work EnvironmentGovernment agencies, defense, intelligence, and military sectorsPublic and private sector organizations, urban planning, environmental agencies
Employer & Industry UsageUsed primarily in defense, intelligence, and national securityUsed in urban planning, environmental management, and business analysis
Search & Comparison IntentOften compared for roles involving security and strategic analysisCompared for geographic data analysis and mapping roles

Geospatial Intelligence focuses on strategic, security, and defense applications, often requiring security clearances. In contrast, GIS Analysts primarily work on mapping, spatial data analysis, and urban or environmental projects. While both roles involve geospatial skills, their work environments and objectives differ significantly.

What is geospatial intelligence?

Geospatial intelligence (GEOINT) is the collection, analysis, and interpretation of imagery and geospatial information to describe, assess, and visually depict physical features and activities on Earth. GEOINT combines satellite imagery, aerial photography, maps, and other geographic data to support national security, disaster response, and various decision-making processes. Professionals in this field use advanced technologies and analytical methods to provide actionable insights for government agencies, military operations, and private organizations.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental efforts. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances and specialized training. The career offers opportunities in government agencies, defense contractors, and private sector firms with competitive salaries and advancement potential.
What are popular job titles related to Geospatial Intelligence jobs in Seattle, WA? For Geospatial Intelligence jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Geospatial Intelligence jobs in Seattle, WA look for? The top searched job categories for Geospatial Intelligence jobs in Seattle, WA are:
Geospatial Intelligence jobs near you
Infographic showing various Geospatial Intelligence job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $88,082 per year, or $42.3 per hour.

Principal Game Engine Team Lead, Platform

Worldscape Technology Inc.

Redmond, WA

$160K - $200K/yr

Full-time

Re-posted 2 days ago

Job description

Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. 
Key Attributes:
  • Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. 
  • Leadership & Mentorship: Ability to guide developers, set technical direction for an area, and enforce best practices.
  • Problem-Solving: Creative and analytical approach to complex simulation challenges.
  • Communication: Clear articulation of technical concepts to non-technical stakeholders. 
Responsibilities:
  • Run a team that owns the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems.
  • Deliver core physics features: Collision detection (broad‑phase/narrow‑phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics).
  • Integrate with simulation logic (gameplay) & animation: Build physics‑driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems).
  • Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities.
  • Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge‑case instability (stacking, tunneling, jitter, constraint drift).
  • Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency.
  • Cross‑functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade‑offs; align milestones with production.
  • Mentorship & standards: Guide engineers via code reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility.
  • Quality & live support: Own crash triage and regression control for physics; support content changes post‑launch without destabilizing the simulation.
  • Design, implement, and optimize real-time rendering pipelines (e.g., forward, deferred, ray tracing).
  • Develop and maintain shaders using HLSL, GLSL, ShaderLab, or Shader Graph.
  • Responsible for graphics API Integration work with low-level APIs like DirectX 11/12, Vulkan, Metal, or OpenGL ES.
  • Guide junior and mid-level engineers, conduct code reviews, and enforce best practices across studio teams.
  • Take responsibility for major subsystems (e.g., lighting, post-processing, material systems).
  • Work closely with artists, designers, and other engineers to align visual goals with technical feasibility.
  • Help technical artists create efficient content workflows and troubleshoot visual issues.
  • Translate deep technical topics into actionable insights for studio and platform teams and leadership. 
Professional Qualifications:
  • Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience).
  • Experience:10+ years in real‑time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred).
  • Programming: Expert C++ (modern standards), data‑oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.).
  • Rigid‑body dynamics,collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi‑implicit Euler, RK, constraint solvers).
  • Numerical stability, error control, and performance trade‑offs under real‑time constraints.
  • Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines.
  • Performance: Multi-threading/job systems, SIMD/vectorization, cache‑friendly data structures, frame/memory budgeting across platforms.
  • Collaboration: Proven ability to lead cross‑disciplinary efforts and communicate complex technical topics clearly. 
Preferred Qualifications:
  • 15+ years’ experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred.
  • 10+ years’ experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders).
  • Experience with existing physics models and systems integration.
  • Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross‑platform latency mitigation.
  • Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification.
  • Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in‑engine visualization/debugging overlays.
  • Optimization Expertise: Broad‑phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning.
  • Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. 
Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. 
Why Worldscape? 
There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day.  Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. 

What we offer: 
- Competitive salary and meaningful equity 
- Attractive benefits package  
- Flexible time off policy 
- Medical, Dental and Vision insurance 
- HSA health insurance options 
- 401k plan 
- Basic and Voluntary Life Insurance
- Fast paced environment with flexibility and ownership
 
Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Employment is contingent upon successful completion of a background check.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.