Spaceflight Analyst, Entry-Level

Aevum's Ravn X Systems Engineering, Assembly, Integration, and Test (SAIT) team is offering a rare opportunity for an analyst to be an apprentice to the Chief Engineer of the Ravn X to learn and operate Aevum's proprietary analysis methods for analyzing and planning the flight trajectories of the Ravn X autonomous vehicle. The ideal candidate has an insatiable appetite for rigorous learning - especially for mathematical analysis of real-world aerospace systems. As the spaceflight analyst, and seeker of the "truth", you will work alongside a multi-disciplinary team to ensure successful flights of the Ravn X vehicle against commercial, Department of Defense (DoD), and research & development (R&D) requirements and objectives.

You will use your strong working knowledge of mathematical methods to analyze, simulate, and solve real-world flight problems and provide solutions to various technical teams. Through math models and simulation, you will discover the hidden dynamics and inter-workings of complex systems and share your insight with the rest of the engineering team to help guide autonomous vehicle development activities.

Prior experience is not required for this position but rock-solid knowledge of physics and math methods is a firm prerequisite. Aevum will provide all the necessary training; however, the most successful candidate must be an extraordinary critical problem solver and relentlessly determined to contribute to a world-class team on the road to flying the world's largest autonomous UAS for space launch; long hours in the office toiling over research papers and technical reports is likely your best chance of success in this career track.

The Spaceflight Analyst, Entry-Level position is a part of the SAIT team and reports directly to the Chief Engineer.

The starting salary range for this position is $55,000 - $65,000/year commensurate with experience.

• Assist in the development of flight and trajectory analysis methodologies for the purpose of flying sophisticated, complex autonomous vehicles
• Learn the development and application of advanced techniques for trajectory optimization problems requiring flight mechanics and astrodynamics modeling
• Analyze autonomous spaceflight and aeronautical flight profiles and dynamics of aerospace systems
• Perform trajectory simulation and performance optimization of launch vehicles, rocket upper stages, missiles, spacecraft, and re-entry vehicles under the direction and supervision of the Chief Engineer
• Develop objective functions and implement optimization theory to analyze and characterize complex problems
• Support technical activities associated with regulatory compliance (launch licensing, FCC, etc.)
• Assist in the analysis and optimization of space propulsion systems (chemical, electric, hybrid, nuclear, etc.)
• Assist the Chief Engineer in the development of CONOPS for various missions and support requirements allocation
• Decompose technical requirements and perform technical analysis for verification and validation (V&V)
• Author technical reports to document analysis performances, results, and conclusions
• Peer review math methods for accuracy and efficiency of approach/framework
• Support technical reviews with stakeholders by creating and preparing presentations, reports, etc.
• Assist in the derivation of technical requirements based on results of technical analysis activities
• Participate in hardware and software tests to gather the data necessary to anchor analysis; review and scrub test results
• Perform numerical analysis and analyze large datasets by writing and using codes and scripts in Python or Matlab
• Support technical meetings
• Participate in special working groups formed to overcome technical challenges in the development of the Ravn X vehicle
• Perform other tasks as assigned by the Chief Engineer

• Relentless drive to help make the world better for reasons bigger than yourself
• Humility
• Strong work ethic (~60-70 hours/week)
• Career-focused and introspective
• Bachelors degree in Mathematics, Physics, Aerospace Engineering, or related technical field
• Working knowledge numerical analysis, math methods, and basic programming skills (Python, Matlab, etc.)
• Microsoft office suite proficiency
• Excellent verbal and written communication skills
• Excellent interpersonal skills

• Masters in Systems Engineering; Dynamic Systems
• Prior experience modeling and analyzing flight dynamics or profiles
• Experience programming in C, C++, Fortran (lol), Python, MATLAB and/or UNIX or kernels
• Experience with optimal control software packages

• <25% travel is anticipated for this position