Drimva

Muon Space

Staff Software Engineer, IR Data Products

$216K–$239K

Denver, CO +1 · Remote · Staff · Full-time · Posted Oct 2, 2026

Location
Denver, CO
Remote
Experience
10+ years with a Bachelor’s degree, 8+ years with an MS, or 5+ years with a PhD in software engineering.
Education
Bachelor’s degree, MS, or PhD.
Visa sponsorship
Must be a U.S. person, eligible to access export-controlled information without export authorization, or eligible and reasonably likely to obtain the required export authorization.

About the job

Leads architecture and delivery of scalable software systems that process, store, and distribute infrared satellite data and derived products.

What you'll do

  • Lead multi-quarter architecture and implementation for IR data pipelines, orchestration, storage, cataloging, and delivery.
  • Drive low-latency processing, geospatial data systems, and MLOps foundations for derived products.
  • Set engineering standards, coordinate cross-functional design and execution, and mentor engineers.

What they ask for

  • Bachelor’s degree with 10+ years, MS with 8+ years, or PhD with 5+ years of software engineering experience.
  • Demonstrated technical leadership on production data platforms at scale and multi-quarter architectural initiatives.
  • Experience designing and operating production data pipelines on AWS with a modern workflow orchestrator.
  • Experience optimizing latency and maintaining production operational practices, including observability, SLOs, safe deploys, and reproducibility.

Nice to have

  • Experience with geospatial or remote sensing systems at scale and geospatial formats, tile stores, or STAC.
  • Hands-on MLOps, GPU acceleration, or event-driven/microservices architecture experience.

Pay

$216,000 - $239,000 USD base salary

Tools

AWS, Flyte, Airflow, Prefect, Argo, NetCDF, Zarr, HDF

AI focus

Build production MLOps foundations for derived infrared products, including model packaging and versioning, experiment tracking, GPU-backed training and inference, A/B evaluation, and reproducibility.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)