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Responsibilities

• Take ownership of the internally developed Mission Design Toolset (MDT)
• Create 6DOF attitude mission timelines from 3DOF trajectories, payload requirements, and other constraints
• Run, modify, create scripts and source code to assess vehicle change impacts among various subsystems for IM's current and future lunar missions
• Interface with all subsystems to improve processes, gather inputs, and provide output
• Present results to control boards, participate in high level design and analysis discussions

A candidate for this position will be encouraged to take on as much responsibility as practical and will be expected to play a role in the full analysis process, including conceptualization, requirements & procedures, code development, testing, documentation and presentation of results, and on-console mission operations support. This role is key for mission success.

Required Education/Experience/Skills

• B.S degree in Mechanical Engineering, Aerospace Engineering, or related discipline and minimum of 3 years of experience in root cause analysis or related discipline; or M.S. degree in Aerospace Engineering or related discipline and a minimum of 2 years of experience
• Proficiency with Python, Linux, 6DOF simulation, trajectory design, linear algebra, quaternion math, frame transformations
• Familiarity with commonly used space and commercial specifications
• Experience with Microsoft Office suite.

Desired Education/Experience/Skills

• Solid experience with C/C++, Trick, Bash, VSCode, Git, GitLab, SpiceyPy, Matplotlib, Numpy, Confluence, Jira, Agile, Kalman Filters, Monte Carlo, nonlinear optimization, MPI

Essential Requirements

• Effective verbal and written communication
• Ability to work in a collaborative team environment
• Excellent organizational skills
• Creative approach to problem solving
• Embraces Intuitive Machines core values: Respect, Integrity, Dedication, and Excellence
• Ability and willingness to work under compressed and aggressive delivery schedules
• Teamwork - Eager and able to work in a collaborative and cross-disciplinary fashion in a fast-paced, dynamic and deadline-oriented environment