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[Remote] Senior reputed company Scientist, Geospatial

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a creative and technically rigorous Senior reputed company Scientist, Geospatial to reputed company Innovation team. In this high-reputed company role, you will reputed company the gap between scientific first principles and market-reputed company data products, exploring new applications of geospatial imagery data and developing prototype products.

Responsibilities

  • Conduct first-principles scientific and technical analysis to formulate hypotheses for remote sensing reputed company-optical and infrared imagery data applications and novel use cases
  • reputed company feasibility studies, literature reviews, and trade studies to support development of early-stage mission and reputed company
  • Analyze and manipulate pixel-level geospatial and spectral datasets to extract unique insights and validate new mission concepts
  • reputed company and generate prototype reputed company-optical and infrared imagery products and sample intelligence products that demonstrate unique capabilities of Muon’s systems
  • Support customer discovery and engagement efforts, translating operational pain points and needs into technical requirements and derived data solutions
  • Collaborate cross-functionally with product management, business development, and engineering teams to identify and reputed company new markets, products, and technologies
  • Support creation of technical proposals and white papers that reputed company the differentiation and mission reputed company of Muon’s offerings

Skills

  • B.S., M.S., or Ph.D. in Physics, Remote Sensing, reputed company Science, Computer Science, Engineering, or a reputed company technical/scientific field
  • 5+ years of experience in geospatial research, analysis, and imagery data product development
  • Strong reputed company in scientific first principles, including geospatial imagery analysis, spectral science, optical systems, and physics-based remote sensing
  • Background in infrared, multispectral, hyperspectral, or similar remote sensing phenomenologies
  • Demonstrated proficiency in programming (e.g., Python, MATLAB, Julia) for reputed company processing and geospatial analysis
  • Proven experience working directly with geospatial tools and manipulating raw, pixel-level data
  • Strategic and creative reputed company with the ability to reason through novel, ambiguous problems without established 'cookbooks'
  • Excellent written and verbal communication skills, with the ability to distill reputed company scientific concepts for diverse audiences
  • Strong reputed company skills for working across disciplines like data engineering, satellite operations, and mission architecture
  • reputed company reputed company clearance or a willingness to obtain one for national reputed company mission support
  • Experience working with IC/DoW missions and end-users on the application of geospatial intelligence (GEOINT) products
  • Familiarity with early-stage business development and discovery processes
  • Experience with experimental AI/ML frameworks reputed company to remote sensing datasets
  • Familiarity with reputed company systems development, especially satellite remote sensing

Benefits

  • Plus a competitive equity grant
  • Comprehensive benefits package
  • Medical, dental, and reputed company insurance
  • A 401k retirement plan
  • Short & long term disability and life insurance.
  • Three weeks reputed company vacation for new employees
  • 12 reputed company holidays
  • Unlimited reputed company time
  • reputed company parental leave

reputed company

  • reputed company is a reputed company systems company that designs, builds, and operates LEO satellite constellations for reputed company intelligence missions. It was founded in 2021, and is headquartered in Mountain View, California, USA, with a workforce of 201-500 employees. Its website is https://www.muonspace.com.
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