Software Engineer, IR Data Products at Muon Space
San Jose, CA
$156,000–$186,000from the description
Aug 5, 2026
San Jose, CA
Sep 24, 2026
What this job asks for AI summary
This role involves building and operating production data processing pipelines that transform raw infrared imagery from satellites into calibrated, orthorectified, analysis-ready geospatial products — including fire detections and perimeters — under strict latency requirements. The work spans pipeline performance optimization, workflow orchestration across a growing satellite constellation, and production monitoring with on-call responsibilities. It suits an experienced software engineer comfortable with data-intensive systems and willing to develop working knowledge of remote sensing science.
Senior level · 5+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,400 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (software developers). range 1,800–3,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $217,796 (middle half $177,469–$231,052). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (5)
Experience requirement is stated as 'BS +5 years or MS +3 years'; the overall years minimum is set to 5 (the BS path, which is the lower bound across all degree levels).
AWS is listed as 'preferred' within the cloud infrastructure requirement ('AWS preferred'), but cloud infrastructure familiarity itself is a hard gate in the qualifications section — AWS is captured as required with Azure/GCP as alternatives, reflecting that the cloud capability is required even if the specific platform is flexible.
Containerized deployment is required but no specific container technology is named; Docker is used as the canonical representative with Kubernetes as an alternative.
The alternative occupation code runner-up (15-1243 Database Architects) reflects the significant geospatial data pipeline and ETL engineering component of the role, though the primary framing is production software engineering.
COG (Cloud-Optimized GeoTIFF) is listed alongside GeoTIFF in the posting; it is captured as an alternative under GeoTIFF since they are closely related formats in the same preferred-qualifications context.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.