Sr. Staff Engineer, GNC - BlueSky (R5798)

Job details

Work model

Remote

Salary

$173,000 - $250,000

Location

Remote

Hiring context

How this role compares at Shield AI

Shield AI has 472 live roles in MeritLog’s catalog across 12 job families, and 375 of them are in engineering. 369 of those listings publish a pay range, a disclosure rate of 78%.

This role's posted range of $173,000 - $250,000 sits above 63% of the 349 other Shield AI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.  The Guidance Navigation Control engineering team focuses on researching and developing state-of-the-art algorithms that drive high-performance flight for a blue-sky project.. As a GNC Engineer on this team, you’ll work on an agile team grounded in first principles to push the boundaries of the state-of-the-art. Required Qualifications: BS in Aerospace, Aeronautical, Mechanical, Electrical, or Software Engineering with a focus on Control Systems Minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience in the area of vehicle dynamics modeling, flight controls, or simulation. Experience with C++ in a production environment Experience with Matlab and Simulink Expert knowledge of aircraft dynamics and control, stability, and handling qualities Experience tuning and optimizing control systems in simulation and real-world Passion for solving complex problems in a fast-moving environment Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others Ability to obtain a SECRET clearance Preferred Qualifications: MS or PhD in Aerospace, Aeronautical, Mechanical, Electrical, or Software Engineering with a focus on Control Systems Experience with Modern Control Theory, e.g. LQR/LQG, Adaptive Control, Robust Control, Model Predictive Control (MPC), etc. Proficient with extracting linear aircraft state space models from nonlinear equations of motion Proficient with design or selection of servos, inertial navigation systems, air data units, vision-based navigation systems Familiarity with Kalman Filters Familiarity with system identification techniques Familiarity with git, continuous integration & delivery, etc.

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