{"id":44605,"url":"https://alion.io/job/muon-space-software-engineer-ir-data-products","title":"Software Engineer, IR Data Products","company":{"id":4799,"name":"Muon Space","domain":"muonspace.com","url":"https://alion.io/company/muon-space","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":13,"ghost_share":0,"stale_share":0.538,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190000,"max":212000,"currency":"USD","period":"year","gross":null,"usd_annual":212000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Python","optional":false},{"name":"Flyte","optional":true},{"name":"GDAL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-06T13:46:50Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-17T08:09:06Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"About the role\nMuon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, space-based environmental monitoring, and more. Muon's IR Data Products team builds the analytics system that turns raw imagery from our spacecraft's custom multispectral instruments into calibrated, orthorectified, analysis-ready products - and delivers them fast enough to be useful while a fire is still burning.\nIn this role you will build and operate the production pipeline that does this. Our system ingests raw frames from orbit, calibrates and geolocates them, orthorectifies them into map-projected tiles, and derives fire detections and perimeters - all under a hard latency budget, and increasingly on a continuous basis across a growing constellation.\nThis is hands-on production software engineering on a system with real users and real deadlines. Wildfire response agencies act on what we ship. You will work alongside remote sensing scientists who define what the products must be, and own turning that into code that runs reliably, at scale, and on time.\nThis position is hybrid and requires working on-site in our San Jose, CA office three days per week.\nResponsibilities\nBuild, test, and maintain production data processing pipelines for infrared imagery, from raw frames through calibrated and orthorectified products.\nImprove pipeline performance against latency targets - profiling, parallelization, and eliminating fixed overhead in the critical path.\nImplement and operate workflow orchestration for continuous, automated processing across multiple satellites.\nBuild monitoring, alerting, and operational tooling; participate in an on-call rotation for the systems you help build.\nWork with remote sensing scientists to turn algorithms and prototypes into production-ready, tested, maintainable code.\nContribute to code review, testing practices, and technical documentation in a shared codebase.\nDiagnose and fix data quality and processing failures, including tracing problems back through the pipeline to their source.\nLearn new topics as needed (remote sensing measurement techniques, geospatial data engineering, customer domain-specific implications).\nQualifications\nBS, Masters, or PhD in Computer Science, Engineering, a physical science, or equivalent practical experience.\nBS +5 years or MS +3 years of relevant professional experience beyond internships.\nSolid Python skills, and experience writing code that other people depend on - tested, reviewed, and maintained over time.\nFamiliarity with cloud infrastructure (AWS preferred) and containerized deployment.\nComfort working with data at a scale where naive approaches stop working.\nAbility to work with a distributed, interdisciplinary team (scientists, engineers, data support).\nWillingness to learn the science domain well enough to reason about whether output is correct, not just whether the job succeeded.\nPreferred Qualifications\nExperience with geospatial data tooling and formats (e.g. XArray, COG, GeoTIFF, NetCDF, GDAL, Zarr).\nExperience with workflow orchestration systems (Flyte, Airflow, or similar).\nExperience with performance profiling and optimization of data-intensive systems.\nExperience with satellite, remote sensing, or other scientific imagery pipelines.\nInfrastructure-as-code experience (Terraform or similar).\nExperience operating production systems on call.\nSalary\nThe salary range for this role is $190,000 - $212,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. \nAbout Muon Space\nFounded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.\nTaking Care of Our Team\nAt Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave. \nOur mission embraces the entire planet and we believe our team should too. 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 value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.\nMuon is currently registered and able to hire in the following states:\nAL, AZ, CA, CO, CT, DC, FL, GA, IL, IA, ID, MD, MA, MI, MN, MO, NJ, NY, NC, OH, OR, PA, TN, TX, VT, VA, WA\nITAR/EAR Requirements\nThis position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. 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