Job Information
Amentum Space Exploration Division Navigation Engineer #ADV000A29 in Huntsville, Alabama
The Navigation Engineer will be supporting two projects. First, this role will support the SLS Navigation team by contributing to the maintenance and improvement of the in-house navigation algorithms, inertial sensor models, and data processing scripts. This involves developing a detailed understanding of how navigation sensors interface with flight computers and software. Additionally, this role will aid in telemetry calculations and modeling.
Secondly, this role will support the Spacecraft/Payload Integration and Evolution (SPIE) team with performing various navigation analyses while also preparing and delivering results to the SPIE team.
Common to both the SLS Navigation and SPIE teams, this role will be involved in downloading data from Hardware in the Loop test data as well as Artemis flight data in support of updating/maintain the teams Day of Launch displays and post-flight data analysis.
Successful candidates are self-motivated and work well with others. As part of both teams, you will collaborate with other members of the team. This includes opportunities for mentoring and professional growth.
Job Requirements:
A degree in Electrical Engineering, Mechanical Engineering, or related field is required. A degree from an ABET-accredited university is preferred. Typically, educational requirement is a BS with 0 - 5 years of experience.
Required skills and experience:
Knowledge of data acquisition systems, signal generators, and similar systems
Strong analytical capabilities
Strong proficiency in programming, especially with Python, MATLAB or C/C++.
Proficiency in technical writing, communication, and presentation.
Desired skills and experience:
Strong proficiency with C/C++ is especially helpful for this role. Familiarity with MATLAB and Python is also desired.
Experience with version control software and processes such as SVN or Github
Knowledge of Monte Carlo, design of experiments, and statistical analysis
Experience working in-the-loop testing
Proficiency with Kalman filter and other filtering techniques.
Familiarity with inertial sensors, coordinate frame transformations, and navigation algorithms
