# Staff Software Engineer, IR Data Products at Muon Space

> Remote · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Amuonspace%3A5256159007 (read 2026-11-07).

## Facts (observed)

- Company: [Muon Space](https://alderhq.app/companies/muon-space)
- Location text: Denver, CO; Remote
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Denver, CO; Remote")
- Posted: 2026-10-02 (35 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/muonspace/jobs/5256159007
- Skills listed (inferred): Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Denver, n 34): p25 $155k, median $188k, p75 $214k
- H-1B filings at this company for similar roles, FY25: 1 ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

### About the role

Muon Space is building and operating a growing portfolio of infrared (IR) space missions that generate mission-critical Earth observation data for a diverse and expanding set of customers. These missions include the FireSat constellation, which delivers calibrated IR imagery and derived wildfire products to wildfire operators, the scientific community, the US Government, and commercial partners; and the Space Based Environmental Monitoring (SBEM) mission, which provides data for weather and cloud characterization, situational awareness, and a broad range of additional use cases. Muon's IR Data Products team owns the multi-mission, multi-customer software systems that process, store, and disseminate the data from these missions — turning raw downlink into calibrated imagery and derived products, and delivering those products reliably and at low latency to customers at scale.

This role is an architecture and technical-leadership seat for the Software focus area of the IR Data Products team. The engineer will own architecture and cross-team execution across defined IR data-system domains, translating longer-term technical direction into multi-quarter designs and delivered production systems. This role will lead multi-quarter initiatives to design and build scalable software architectures that make the system fast, cheap, reliable, evolvable, and ready for many-satellite scale.

In this role, the candidate will work across four key areas:

- Architecture & implementation leadership for the next-year horizon: Own key aspects of the architectural direction for the data systems for Muon’s IR Missions — pre-processing, processing directives & routing, delivery orchestration, compliance evaluation, and the orchestration platform itself.
- Low-latency optimization & core infrastructure: Own key aspects of the technical roadmap to low-latency processing. Own structural designs such as event-driven microservices, cloud infrastructure design and optimization, and algorithmic optimizations.
- Geospatial tooling: Own key aspects of the architectural direction for how we store, catalog, serve, and version geospatial data (NetCDF, Zarr, HDF, STAC, tile stores) at scale.
- MLOps foundations: Build the production foundations for ML products — model packaging, experiment tracking, GPU-backed training and inference — that our derived-product work (hotspots, perimeters, fire behavior) will increasingly depend on.
Additionally, the role will represent the team in cross-functional design reviews, drive prioritization syncs with Technical Program Managers and Business Development, and set software standards for the team’s codebase and development practices. This engineer will mentor senior and mid-level engineers across the team and raise the bar on how we reason about failure modes, immutability, idempotency, and reprocessing.

The ideal candidate is a hands-on staff-level engineer with a track record of leading multi-quarter architectural initiatives on production data platforms at scale. They combine deep experience with distributed data systems and modern workflow orchestration with real geospatial and (ideally) MLOps depth, and they are as comfortable writing a design document and driving cross-team alignment as they are debugging a complex piece of algorithm code.

This position is hybrid and requires working on-site in our Denver, CO office three days per week.

### Responsibilities

- Own key aspects of the architectural design for the multi-mission, multi-customer IR data systems in partnership with the Principal Software Engineer: ingest, pre-processing, orchestration, storage and catalog, delivery, and the platforms that run all of the above.
- Lead the design and implementation of critical capabilities for Muon's IR missions from problem framing and design document through rollout, adoption, and operational hand-off.
- Own key aspects of the technical roadmap to low-latency processing including: structural designs such as event-driven microservices, cloud infrastructure design and optimization, and algorithmic optimizations.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Amuonspace%3A5256159007 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.