Satellite Operations Engineer - Autonomy & Anomaly Response

Capella Space

Louisville (CO)

Hybrid

USD 145,920 - 160,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical, dental, and vision plans
Matching 401K
Unlimited PTO and paid holidays
Parental/adoption leave
Home technology stipend

Job summary

Capella Space is seeking a Satellite Operations Engineer for our Louisville, CO office with some remote work flexibility. In this role, you will manage the operational lifecycle of satellites, from launch to maintenance.

The ideal candidate has a Bachelor's in a relevant field and 4+ years of experience, including proficiency in Python for automation and data analysis. We value creativity and problem-solving in a fast-paced environment.

Qualifications

  • 4+ years of relevant work experience.
  • Strong ability to communicate and collaborate within a team environment.
  • Comfortable dealing with unknowns and addressing uncertainty.

Responsibilities

  • Lead the launch and commissioning of new satellites for autonomous operations.
  • Perform spacecraft analysis, maintenance, and anomaly response.
  • Develop and automate operational procedures and tools.
  • Test and deploy satellite software updates.
  • Support the execution of special projects and demonstrations.
  • Interface with other teams for highly autonomous spacecraft operations.

Skills

Python for data analysis and automation
Astrodynamics
Guidance, Navigation, and Control
Electrical Engineering
Communications Systems
Thermal Engineering
Embedded Software
Propulsion
Git or other version control systems

Education

Bachelor's or Master's degree in Aerospace Engineering, Mathematics, Computer Science, Physics, or a related technical field

Job description

Capella Space is seeking a Satellite Operations Engineer for our Louisville, CO office with some remote work flexibility. In this role, you will manage the operational lifecycle of satellites, from launch to maintenance.

The ideal candidate has a Bachelor's in a relevant field and 4+ years of experience, including proficiency in Python for automation and data analysis. We value creativity and problem-solving in a fast-paced environment.

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