Real-Time Geospatial Mapping Engineer for Moon Missions

KBR; Fremont (CA); On-site; USD 145,000 - 231,000; Full time

Benefits offered by this job

401K plan with company match

Medical, dental, vision

Life insurance

Flexible spending account

Disability

Paid time off

Flexible work schedule

Job summary

KBR is seeking a Software Engineer for Real-Time Geospatial Mapping to support NASA Ames and Artemis missions. You will contribute to two coordinated efforts, M2M CSDS and WITME, developing a shared science-centric platform for visualization, analysis, and decision support in time-critical scenarios.

You will work with geospatial libraries (CesiumJS, OpenLayers), 3D terrain modeling, and AI-enabled tools, collaborating with a CLPS team to deliver robust UI, backend services, and data pipelines

Qualifications

• Must be a U.S. Citizen or Permanent Resident.
• Experience designing user-facing applications with responsive, accessible UI.
• Experience with server-side services, APIs and databases in complex JavaScript apps.
• Strong knowledge of geographic mapping libraries and projections.
• Hands-on with 3D terrain visualization and related math concepts.
• Familiarity with GDAL and geospatial data formats.

Responsibilities

• Develop software for M2M CSDS and WITME in collaboration with NASA CLPS teams.
• Integrate FedRAMP and NASA-approved AI tools for data summarization and search.
• Build web interfaces to communicate terrain model confidence and enable rapid planning.
• Support real-time science and operational decision-making in a mission context.

Skills

UI/UX proficiency

APIs & databases

JavaScript mapping/rendering

Geographic map projections

Geographic map services

3D graphics in terrain

User-centered design

AI tool integration

Education

Tools

Docker

Python

Flask

PostGIS

Postgres

GDAL

Redis

SSE

OpenLayers

CesiumJS

Job description

KBR is seeking a Software Engineer for Real-Time Geospatial Mapping to support NASA Ames and Artemis missions. You will contribute to two coordinated efforts, M2M CSDS and WITME, developing a shared science-centric platform for visualization, analysis, and decision support in time-critical scenarios.

You will work with geospatial libraries (CesiumJS, OpenLayers), 3D terrain modeling, and AI-enabled tools, collaborating with a CLPS team to deliver robust UI, backend services, and data pipelines