Guidance, Navigation and Controls Engineer II/III - Rendezvous and Proximity Operations

About The Role

Sierra Space is seeking a Guidance, Navigation & Controls Engineer II to contribute to the design, analysis, and implementation of advanced GNC systems for spacecraft applications. This mid-level role is ideal for engineers with foundational experience in dynamic modeling, algorithm design, and simulation analysis. The selected candidate will work independently on complex tasks while collaborating with cross-functional teams to ensure system performance and compliance with requirements. This position offers the opportunity to expand technical expertise and take ownership of key GNC subsystems.

• Develop, implement, and evaluate GNC algorithms, focusing on one or more areas of guidance, navigation, control, and Fault Detection, Isolation, and Recovery (FDIR).
• Program and optimize simulations using SIMULINK and STK, while modeling and analyzing GNC sensors and actuators such as IMUs, GPS, star trackers, Reaction Control Systems (RCS), Reaction Wheels, Magnetic Torquer Bars, Control Moment Gyros, and LIDAR.
• Run and modify Monte Carlo simulations, performing in-depth analysis to identify issues and optimize system performance.
• Analyze and implement autonomous GNC mode transitions to ensure system reliability and robustness.
• Take ownership of a group of performance requirements by conducting relevant analysis to ensure compliance.
• Work with GNC flight software (FSW) in target test simulation environments to validate functionality.
• Document technical findings and communicate results to stakeholders and team members.

About You

We are looking for team members who align with our values, mission and goals – while also meeting the minimum qualifications below. The preferred qualifications are a bonus, not a requirement.

• Bachelor’s degree in aerospace engineering, mechanical engineering, electrical engineering, or a related technical field (or equivalent work experience in lieu of degree).
• 2+ years of relevant experience in dynamic modeling and GNC algorithm design.
• Strong proficiency in SIMULINK programming and STK, with familiarity in C, C++, Python, and version control tools such as GIT/SVN.
• Fundamental knowledge of GNC algorithms and experience with designing at least one of guidance, navigation, control, or FDIR algorithms.
• Understanding of the working principles of IMUs, GPS, star trackers, RCS, non-propulsive actuators (Reaction Wheels, Magnetic Torquer Bars, Control Moment Gyros), and LIDAR.
• The ability to obtain and maintain a U.S. Security Clearance is required.

Preferred Qualifications

• 2+ years of industry experience or master's degree with concentration in Rendezvous and Proximity Operations, demonstrating proficiency in trajectory planning, relative motion dynamics, and GN&C algorithms for spacecraft maneuvers.
• Demonstrated knowledge of autonomous docking systems and collision avoidance techniques, with experience applying relative navigation sensors and orbital mechanics principles in academic or professional settings.
• Background in Rotational Dynamics (kinematics and kinetic analysis).
• Strong foundation in orbital mechanics principles, including Restricted 2-Body Equation of Motion, Classical (Keplerian) Orbital Elements, and relative motion dynamics in multiple reference frames.
• Experience running Monte Carlo simulations and performing in-depth analysis to troubleshoot and optimize GNC systems.
• Strong understanding of autonomous GNC mode transitions and ability to perform relevant analysis.
• Familiarity with SIMULINK autocoding and Linux systems for simulation and software integration.
• Experience working with GNC flight software in target test simulation environments and conducting validation testing.
• Knowledge of spacecraft subsystems, including power and thermal systems, communication antennas, and control structure interaction principles.

Compensation

Pay Range: $105,534.00 - $145,109.25

Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education, experience, internal equity and market competitiveness.