Sr. Staff Engineer, GNC - BlueSky (R5798)
TECHNICAL STACK · 2 TAGS
OVERVIEW
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.
REQUIREMENTS
Description
- 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
NICE TO HAVE
Full-time regular employee offer package
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
QUESTIONS AND ANSWERS
- How much does the Sr. Staff Engineer, GNC - BlueSky (R5798) at Shield AI pay?
- The posting lists a range of $173K–$250K per year. Ranges reflect what Shield AI publicly declared on the source posting.
- Where is this Sr. Staff Engineer, GNC - BlueSky (R5798) role based?
- The role is based in Remote and is open to remote candidates.
- What experience does Shield AI expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- Where is Shield AI headquartered?
- Shield AI is headquartered in San Diego, USA.
- How was this posting sourced?
- This role was pulled directly from Shield AI's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
Apply links open in the employer's official ATS. Always verify recruitment messages on the company's careers page before sharing personal information.