Software Development Team Leader
Role details
Job location
Tech stack
Job description
We are seeking a talented and experienced Software Development Engineer to join our Space Networking Group Engineering Team. This is a Lead position that will contribute to the continued development and implementation of Intuitive Machines Services Network.
Responsibilities:
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Lead the Space Networking software development team on the continued development of our networking software and integration in various network segments.
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Participate in the design, development and implementation of the Intuitive Machines Space Network architecture and services.
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Provide technical support and expertise during mission planning, execution, and post mission analysis.
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Prepare technical documentation, reports, and presentations for internal and external stakeholders.
Requirements
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Bachelor's Degree or equivalentexperiencein Computer Science, Software Engineering, Network Engineering, or related discipline.
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Minimum of7years of experience in software development in C, C++ programming languages,and scripting languages likePython.
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Experience working with and developing in Unix/Linux Operating System
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Clear understanding and experience with internetworking protocols such as the TCP/IP protocol suite.
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Deep knowledge and understanding of the Delay and Disruption Tolerant Networking (DTN)architectureand Bundle Protocol (BP).
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Experience with software development methodologies and tools, including Agile and DevOps practices, with creative approach to problem solving, software quality and testing.
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Experience with Microsoft Office Suite, Gitlab, Docker, Confluence, Jira, SQL databases.
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Preferred knowledge on IETF and CCSDS Standards.
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Goodverbal and written communication and organizational skills.
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Ability and willingness to work under compressed and aggressive delivery schedules in a collaborative cross-disciplinary team environment.
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Cybersecurity knowledge is a plus.
About the company
We provide machine learning products and services at scale to some of the largest companies in the world. Focus on meta-learning and visual domain ML.
Intuition Machines has decades of software and ML expertise. We build and operate massively scalable systems to tackle some of today's hardest problems.