Senior Applied Scientist, Geospatial

You will bridge the gap between scientific first principles and market-ready data products in this high-impact zero-to-one role. You'll act as the scientific engine and creative force exploring new applications of electro-optical and infrared geospatial imagery data, developing prototype products, and engaging directly with customers to discover the missions of tomorrow. You will hypothesize and validate how unique EO/IR geospatial imagery datasets can solve critical challenges for defense, intelligence, and commercial end-users.

Responsibilities

• Conduct first-principles scientific and technical analysis to formulate hypotheses for remote sensing electro-optical and infrared imagery data applications and novel use cases
• Perform feasibility studies, literature reviews, and trade studies to support development of early-stage mission and data concepts
• Analyze and manipulate pixel-level geospatial and spectral datasets to extract unique insights and validate new mission concepts
• Develop and generate prototype electro-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 develop new markets, products, and technologies
• Support creation of technical proposals and white papers that articulate the differentiation and mission utility of Muon's offerings

Requirements

• B.S., M.S., or Ph.D. in Physics, Remote Sensing, Earth Science, Computer Science, Engineering, or a related technical/scientific field
• 5+ years of experience in geospatial research, analysis, and imagery data product development
• Strong foundation 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 advanced image processing and geospatial analysis
• Proven experience working directly with geospatial tools and manipulating raw, pixel-level data
• Strategic and creative mindset with the ability to reason through novel, ambiguous problems without established cookbooks
• Excellent written and verbal communication skills, with the ability to distill complex scientific concepts for diverse audiences
• Strong collaborative skills for working across disciplines like data engineering, satellite operations, and mission architecture
• Active security clearance or a willingness to obtain one for national security mission support

Benefits

• Equity compensation
• Medical insurance
• Dental insurance
• Vision insurance
• 401k retirement plan
• Short & long term disability insurance
• Life insurance
• Three weeks paid vacation for new employees
• 12 paid holidays
• Unlimited sick time
• Paid parental leave