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Muon Space

End-to-end satellite constellations design and operation

Senior Software Engineer - IR Data Products

Backend EngineeringConfirmed live in the last 24 hours
Full-timeDenver, CO, USA

About the Job

Requirements

  • A Bachelor's degree and 8 or more years, an MS and 6 or more years, or a PhD and 3 or more years of relevant software engineering experience.
  • Demonstrated experience shipping and operating production Python data pipelines and backend services on AWS or comparable cloud infrastructure.
  • Hands-on experience with a modern workflow orchestrator such as Flyte, Airflow, Prefect, Argo, or Dagster, and containerized deployments.
  • Strong software engineering fundamentals, including production Python code, unit and integration testing, Git-based trunk development, code review, and CI/CD.
  • Demonstrated experience adding production-grade observability to a system, including structured logging, metrics, dashboards, alerts, and on-call ownership.
  • Working geospatial domain knowledge, including hands-on experience with common geospatial libraries such as GDAL/OGR, rasterio, PROJ, and shapely, and formats such as GeoTIFF, Cloud Optimized GeoTIFF, NetCDF, Zarr, and HDF.
  • Ability to work with a distributed, interdisciplinary team of scientists, engineers, and program management.

Responsibilities

  • Design, build, and operate production pipelines that process infrared mission captures through L1 imagery, multispectral stacking, geolocation, orthomosaic tiles, hotspots, and derived wildfire products.
  • Optimize pipeline infrastructure, services, and algorithms to minimize latency.
  • Design and build geospatial data discovery and data-serving infrastructure and APIs used by internal product developers and downstream customers.
  • Design and build internal data-visualization and inspection tools for geospatial data.
  • Maintain and improve software testing and release infrastructure and processes.
  • Partner with Remote Sensing Data Scientists to productionize research code by hardening error paths, adding tests and observability, and making it re-runnable and idempotent.
  • Build end-to-end observability of the IR data pipeline, including structured logging, dashboards, metrics, and alerts.

Desired Qualifications

  • Experience building and operating a STAC catalog, such as stac-fastapi, pystac, or pgstac, and associated ingest and query paths.
  • Experience with xarray, Zarr, or NetCDF at scale, including chunked processing and streaming reads from S3.
  • Experience building internal data-visualization or inspection tools, such as dashboards, map viewers, or notebook-based workflows, that support scientific debugging.
  • Experience with Grafana, LogQL, Prometheus, or InfluxDB in production.
  • Experience with satellite ground-segment concepts, including downlink, telemetry, and capture or swath structure, or other remote-sensing data pipelines.
  • Experience with Flyte or Union.ai specifically.
  • Terraform or infrastructure-as-code experience for AWS resources.
  • Experience productionizing research or scientific code written by non-engineers.

About the Company

Muon Space

End-to-end satellite constellations design and operation

What Muon Space does: It plans, builds, and runs satellite constellations to deliver Earth intelligence that helps protect people, climate, and ecosystems. How its product works: It offers end-to-end space systems as a service—creating mission strategies, deploying constellations, and operating them through its proprietary AI automation system. Revenue model and delivery: Customers pay transparently on a pay-as-you-go basis for the development, deployment, operation of the satellites, and the data generated. How it differs from competitors: It combines full lifecycle space systems with an AI-driven operations stack, offers flexible pay-as-you-go pricing, and relies on a team with deep experience from NASA, Google, and SpaceX to focus on solving client missions rather than selling hardware. The company’s goal: provide actionable Earth intelligence to improve climate protection, security, and resource management while reducing costs and speeding up access to space.

Company size
201-500
Company stage
Series C
Total funding
$441.2M
Headquarters
Mountain View, CA
Founded
2021

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