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About the Role
Muon Space is building infrared imaging missions for wildfire detection, weather characterization, and environmental monitoring. The IR Data Products team develops the analytics system to process spacecraft data into actionable products. This role focuses on building derived data products from the FireSat and Space-Based Environmental Monitoring (SBEM) missions, involving algorithm development, production-ready code, and cross-functional collaboration.
Responsibilities
- Build derived data products from Muon's infrared imaging missions.
- Implement and improve scalable algorithms for processing multispectral infrared imagery into geospatial products.
- Contribute to derived product design and roadmap.
- Contribute to technical and customer-facing design documents for derived products.
- Support engagement with customer technical stakeholders.
- Write production-ready code that integrates into customer-facing data product pipelines.
- Contribute to the scientific quality, validation, and integrity of derived products.
- Work cross-functionally with software engineers, calibration scientists, and instrument engineers.
- Learn new topics as needed, such as sensor geometry, georeferencing, and cloud-native geospatial data engineering.
Requirements
- PhD; or MS with 3+ years industry experience; or BS with 5+ years industry experience.
- Hands-on experience building geospatial data products, particularly from new or novel imaging instruments.
- Demonstrated experience applying first principles to solve complex problems.
- Experience working with real-world data from new or novel imaging instruments.
- Strong skills in Python-based development and analysis.
- Strong Python development skills utilizing standard geospatial formats and libraries (e.g., COGs, Xarray, GDAL).
- Excellent written and verbal communication skills.
- Track record of collaborating across distributed, interdisciplinary teams.
- Ability to work with a distributed, interdisciplinary team.
- Ability to prioritize, pivot, and thrive in a fast-paced environment.
- Must be a U.S. person (U.S. citizen or national, lawful permanent resident, refugee, or asylee) or eligible to access export controlled information without authorization, or likely to obtain required authorization.
Skills
- Python
- COGs
- Xarray
- GDAL
- Geospatial data products
- Multispectral infrared imagery analysis
- Algorithm development
- Production-ready code development
- Cross-functional collaboration
- Technical documentation
- Infrared sensing
- ML/DL
- Cloud-native geospatial workflows
- Large-scale data processing
Location
- Denver, CO
Work Type
- Hybrid
- Full-time
Experience Level
- 3+ years industry experience (with MS)
- 5+ years industry experience (with BS)
Education Level
- PhD
- MS
- BS
Salary/Compensations
- $171,000 - $191,000
Benefits
- Competitive equity grant
- Medical insurance
- Dental insurance
- Vision insurance
- 401k retirement plan
- Short term disability insurance
- Long term disability insurance
- Life insurance
- Three weeks paid vacation
- 12 paid holidays
- Unlimited sick time
- Paid parental leave
About the Company
- Muon Space is an end-to-end Space Systems Provider founded in 2021, designing, building, and operating LEO satellite constellations for mission-critical data delivery.
- Their technology stack enables faster time-to-orbit and superior constellation remote sensing performance.
- Their facility in Silicon Valley is optimized for spacecraft manufacturing and payload integration.
- Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world, covering applications from climate monitoring to national security.
Equal Opportunity
- Muon is dedicated to creating a diverse and dynamic company and workforce.
- We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity.
- We encourage you to apply, even if you don’t check all the boxes.
- We look forward to reviewing your application!
- If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.