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Muon Space

End-to-end satellite constellations design and operation

Software Engineer - Simulation Infrastructure

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • Proven ability to collaborate with specialized experts to deliver complex, cross-functional products.
  • A B.S. or equivalent experience in Computer Science or a related field.
  • At least five years of experience as a software engineer in a team environment.
  • Proficiency in Python and C++.
  • Willingness to operate in novel technical domains.
  • Excellent communication and presentation skills.

Responsibilities

  • Build and support in-house simulation services that meet the needs of stakeholder teams, including business development, mission design, operations, and ground and flight software engineering.
  • Collaborate with the team's physical-modeling experts to integrate simulation models into complete products.
  • Implement improvements to simulation products based on feedback from client teams.
  • Work closely with the Software Test team to apply simulation tools to testing scenarios.
  • Contribute to work estimation and planning.
  • Assist the team in achieving performance metrics.

Desired Qualifications

  • Experience with numerical simulation techniques.
  • Fluency in statistical analysis.
  • Knowledge of the Julia language.
  • Familiarity with Linux systems administration and Docker containers.
  • Familiarity with cloud deployment environments, such as Kubernetes and virtual instances.
  • Experience with Software-in-the-Loop simulation.
  • Knowledge of CI/CD and DevOps best practices.
  • General familiarity with orbital satellite operations.

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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