Network Management Software Engineer

Intuitive Machines HQ, Houston, TX, US

Full Time

14 minutes ago

Job description

Space Networking Group – Network Management Engineer 

Houston Texas 

 

About Intuitive Machines  

Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety. 

 

We are seeking a talented and experienced Network Management Development Engineer to join our Space Networking Group Engineering Team. The Network Management Engineer will play a key role in the design, implementation and deployment of Intuitive Machines’ Space Network. This role will be tied to our Lunar Data Network, specifically the Near Space Network Services contract. 

 

Responsibilities: 

  • Participate in the design, development and implementation of the Intuitive Machines Space Network architecture and services.
  • Provide technical support and expertise during mission planning, execution, and post mission analysis.
  • Develop network management tools and procedures.
  • Develop proactive and reactive network management strategies.
  • Develop tools for network status visualization and reporting.
  • Integrate Space Network management tools with Network Operations and IM’s Nova Control.
  • Prepare technical documentation, reports, and presentations for internal and external stakeholders.
  • Develop training materials for Network and Mission Control Operators.
  • Participate in the development of the Space Networking R&D Laboratory.
  • Collaborate with external research groups and commercial partners.

 

Requirements: 

  • Bachelor’s Degree or equivalent in Computer Science, Software EngineeringNetwork Engineering, or related discipline.
  • Minimum of 5 years of experience in software development in C, C++, Rust programming languages, Python and other scripting tools.
  • Experience working with and developing in Unix/Linux Operating System, RTOS, and VxWorks environments.
  • Clear understanding and experience with internetworking protocols such as the TCP/IP protocol suite, SNMP and network management protocols and tools.
  • Experience with software development methodologies and tools, including Agile and DevOps practices, with creative approach to problem solving, software quality and testing.
  • Experience with Microsoft Office Suite, Gitlab, Docker, Confluence, Jira, SQL databases.
  • Preferred knowledge on IETF and CCSDS Standards, Delay Tolerant Networking and Bundle Protocol.
  • Preferred knowledge on terrestrial, radio, satellite and optical communications.
  • Effective verbal and written communication and organizational skills.
  • Ability and willingness to work under compressed and aggressive delivery schedules in a collaborative cross-disciplinary team environment.
  • Preferred experience in software development for space applications.

 

US EEO Statement 

Intuitive Machines is an Equal Opportunity/Affirmative Action Employer. All qualified  applicants will receive consideration for employment without regard to race, religion, 

creed, color, national origin, ancestry, sex (including pregnancy, childbirth,  breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), 

age, medical condition, marital or domestic partner status, sexual orientation, gender,  gender identity, gender expression and transgender status, mental disability or physical 

disability, genetic information, military or veteran status, citizenship, low-income status  or any other status or characteristic protected by applicable law. 

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