Shield AI

Senior Engineer, Simulation (R2811)

Dallas, TX US
Matlab Git Docker Kubernetes C++
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Description
Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 

Job Description:
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 

In this role, you will be responsible for porting our Simulink models to C++ and integrating it into our software-in-the-loop simulator. 

What you'll do:

  • Port Simulink models for aircraft dynamics, engine models, aerodynamic models, etc. to C++ 
  • Convert Matlab-based configuration files into JSON or other non-Matlab implementations 
  • Add unit tests for any newly written C++ code 
  • Run A/B parity tests between your new C++ code and the pre-existing Simulink models 
  • Improve documentation for physics models 
  • Integrate C++ models into existing build and software-in-the-loop simulator, removing dependency on Matlab and S-Functions 

Required qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience. 
  • Experience developing and delivering a simulation framework for internal or external customers 
  • Solid fundamentals in math and physics 
  • Experience with C++ 11 or newer in a production environment 
  • Experience with Linux, git, command line tools, etc. 
  • Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders. 
  • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. 

Preferred qualifications:

  • Experience with Docker, Kubernetes, and/or containerised application development
  • Experience with numerical methods, differential equations, etc. 
  • Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions), aerodynamics, propulsion systems, etc. 
Total package details:
Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity
Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment)
*Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity
Actual 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.

If you're interested in being part of our team, apply now! 

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. 
 Shield AI
Shield AI
Artificial Intelligence Machine Learning Mechanical Engineering National Security Robotics Security Software

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