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Muon Space Tech Stack

End-to-end satellite constellation builder with on-orbit compute and real-time data delivery

Space Research and Technology Mountain View, California 201–500 employees Founded 2021 Privately Held

Muon Space designs and operates mission-optimized satellite constellations for defense, civil, and national security customers. The tech stack reveals a systems-integrator posture: deep embedded systems (C++, RTOS, ARM, FPGA) and aerospace simulation (SolidWorks, Zemax, ANSYS, FEMAP) dominate the backbone, while cloud infrastructure (AWS, GCP, Kubernetes, Kafka, BigQuery) handles ground processing and telemetry archiving. The engineering-heavy hiring (34 of 51 active roles) skews senior and principal, suggesting they're scaling complex spacecraft platforms and mission operations rather than expanding sales or GTM—consistent with their focus on reducing design risk and on-orbit anomaly resolution.

Tech Stack 57 technologies

Core StackC++ Python MATLAB HubSpot BigQuery SolidWorks Docker FastAPI Kubernetes Helm AWS Lambda Kafka InfluxDB Grafana AWS Julia RTOS RS-485 Bash ARM Cortex-M C/C++ Embedded Linux FPGA Protocol Buffers Tcl Zemax FEMAP ANSYS Fortran GCP+24 more

What Muon Space Is Building

Challenges

  • Reducing spacecraft design risk
  • Capturing space business within dow
  • Scalable calibration infrastructure
  • Reducing manual repetitive tasks
  • On-orbit anomaly resolution
  • Right-sizing analysis and processes
  • Increasing deal velocity
  • Capacity planning for operations team
  • Streamlining contract workflows
  • Reducing cycle times

Active Projects

  • Software- and hardware-in-the-loop test planning, execution, and validation
  • Attitude control architecture design
  • Spacecraft-to-cloud data integration (processing and archiving command history and telemetry)
  • Modular mission-agnostic attitude control schemes for spacecraft platforms
  • Mission planning & control system in the cloud
  • Constellation configuration evaluation
  • Mission concept development
  • Offline geolocation processing pipeline
  • Ground-processing algorithms for sensor calibration
  • Planning and execution of pre-launch radiometric and geometric calibration campaigns

Hiring Activity

Accelerating50 roles · 35 in 30d

Department

Engineering
34
Sales
4
Ops
3
Data
1
Finance
1
HR
1
Legal
1
Manufacturing
1

Seniority

Senior
26
Mid
10
Principal
3
Staff
3
Junior
2
Lead
2
Director
1
Manager
1

Notable leadership hires: Mission Lead Systems Engineer, Head of Accounting

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About Muon Space

Muon Space is an end-to-end space systems company founded in 2021 and headquartered in Mountain View, California. The company designs, builds, and operates satellite constellations, offering proprietary technology (Halo™) that integrates spacecraft platforms, payload integration, and a software-defined orchestration layer. Current work spans spacecraft attitude control, hardware-in-the-loop validation, constellation configuration, and ground-processing algorithms for sensor calibration. They operate production facilities in Silicon Valley and serve defense, civil, commercial, and national security sectors. Active pain points include reducing design cycles, managing on-orbit anomalies, scaling calibration infrastructure, and streamlining contract workflows.

HeadquartersMountain View, California
Company Size201–500 employees
Founded2021
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Muon Space use?

Embedded systems: C++, Python, RTOS, ARM Cortex-M, FPGA, Embedded Linux. Simulation & CAD: SolidWorks, Zemax, ANSYS, FEMAP. Ground & cloud: AWS, GCP, Kubernetes, Kafka, BigQuery, InfluxDB, Grafana, FastAPI. Analysis: Julia, MATLAB, Fortran.

What is Muon Space working on?

Spacecraft attitude control design, hardware-in-the-loop test automation, spacecraft-to-cloud telemetry integration, constellation configuration evaluation, mission planning systems, geolocation processing, and radiometric/geometric sensor calibration pipelines.

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How this profile is built

Muon Space's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.