Payload Software Lead Engineer
Houston, Texas, United States
About Intuitive Machines:
Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. We believe our mission is to further research, communications, and exploration beyond low lunar orbit. With multiple NASA lunar missions in the making and additional private missions on our manifest, we pride ourselves in supporting NASA, 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 spacecraft subsystems design, development, and test, on-orbit operations, and safety.Intuitive Machines is seeking a talented and experienced Payload Software Lead Engineer to join our dynamic team.
As the Payload Software Lead Engineer, you will play a pivotal role in leading the development and implementation of payload software for our various aerospace projects for our customers.
Responsibilities:
- Lead the design, development, integration, and testing of payload software systems for space ready vehicles.
- Provide technical leadership and guidance to the payload software engineering team, ensuring adherence to best practices, standards, and industry regulations.
- Complete performance reviews, provide feedback to team members throughout the year, and work with team members to define future career goals.
- Collaborate with cross-functional teams to analyze and define software requirements, considering mission objectives, system architecture, and performance constraints.
- Oversee the coding and implementation of payload software, utilizing languages such as C/C++, Python, and embedded software development tools. Experience with GSFC Core Flight Software (CFS) framework
- Establish procedures and methodologies for software verification and validation, including simulation, testing, and debugging activities.
- Identify potential risks and challenges associated with payload software development, and develop mitigation strategies to address them.
- Prepare and maintain comprehensive documentation, including software requirements specifications, design documents, interface documents. test plans, and technical reports.
- Foster a collaborative and innovative work environment, promoting knowledge sharing, teamwork, and continuous improvement across the organization.
- Agile Development: Participate in bi-weekly software sprint planning, organize, and facilitate sprint kickoff and closeout.
Qualifications:
- Bachelor’s degree in Computer Science/Computer Engineering, or related field; Master’s degree preferred.
- Minimum 7 years of experience in aerospace and space vehicle software development, with a focus on payload flight software.
- Proven track record of leading software development projects from concept to delivery.
- Strong proficiency in programming languages such as C/C++, Python, and experience with embedded software development.
- Experience with real-time operating systems (RTOS), software/hardware integration, and avionics systems is highly desirable.
- Experience with I/O protocols (i.e. RS-232, RS-422, SpaceWire, Canbus, TCP/UDP)
- Excellent leadership, communication, and interpersonal skills, with the ability to effectively collaborate with multidisciplinary teams.
- Strong problem-solving abilities and a proactive approach to addressing technical challenges.
- Eligibility to work in the United States without sponsorship.
Join Our Team:
If you are passionate about space exploration and eager to make meaningful contributions to the future of aerospace technology, we invite you to join us at Intuitive Machines. As a Payload Software Lead Engineer, you will have the opportunity to work on cutting-edge projects and collaborate with some of the brightest minds in the industry. Take the next step in your career and be part of our journey to the stars.
EEOCIntuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
