Principal Engineer, Mission Operations Analyst (R2689) at Shield AI

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Shield AI
Principal Engineer, Mission Operations Analyst (R2689)
Washington DC Metro Area

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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. 

At Shield we are working on cutting edge AI solutions that need to evolve how we operate in the harshest of conditions. To support our development and deployments tasks we are building up an Operations Analysis team to guide business strategy and complement our Modeling and Simulation team. This new team will provide rigorous analytical products which will be used to guide product development and convince customers of our value advantage. 

You will be an operations analysis expert with a diverse skill set who will interface with stakeholders including internal programs and external customers. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will lead analysis to support requirements definitions, concept of operations (CONOPS) evaluation, and operational effectiveness studies to help shape and influence future capabilities of the warfighter. These impactful studies quantify the effects of payloads, weapons and tactics on survivability and mission effectiveness. Modeling, Simulation, and Analysis (MS&A) will often complement demonstration events that together leave no doubt that Shield AI offers real warfighter capability.  
At Shield we are working on cutting edge AI solutions that need to evolve how we operate in the harshest of conditions. To support our development and deployments tasks we are building up an Operations Analysis team to guide business strategy and complement our Modeling and Simulation team. This new team will provide rigorous analytical products which will be used to guide product development and convince customers of our value advantage. 

You will be an operations analysis expert with a diverse skill set who will interface with stakeholders including internal programs and external customers. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will lead analysis to support requirements definitions, concept of operations (CONOPS) evaluation, and operational effectiveness studies to help shape and influence future capabilities of the warfighter. These impactful studies quantify the effects of payloads, weapons and tactics on survivability and mission effectiveness. Modeling, Simulation, and Analysis (MS&A) will often complement demonstration events that together leave no doubt that Shield AI offers real warfighter capability.  

WHAT YOU’LL DO:

  • Develop model-driven analysis 
  • Develop a deep understanding of transformational value of Shield AI’s autonomy, simulation, and perception products 
  • Lead advancement of our internal M&S capabilities to give our analyses and asymmetric advantage over competitors 
  • Convey the value through life of AI-powered distributed systems over traditional industrial offerings 
  • REQUIRED QUALIFICATIONS:

  • Must hold an active U.S. Secret security clearance 
  • Military mission MS&A experience. For example, working knowledge of OCA/DCA, ISR, SEAD/DEAD, Electronic Attack, or Long Range Fires missions 
  • Platform MS&A experience— for example, value proposition analyses comparisons involving aero, fuel, and signature modeling 
  • Payload MS&A experience— for example, physics-based trade-space analyses for radar, EOIR, communications, or weapons payloads. 
  • 2+ years AFSIM scripting experience 
  • Outstanding communication skills to include visual presentation of complex data 
  • Proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy) 
  • 5+ years in relevant Science and/or Engineering related field 
  • #LI-AC1
    #LF

    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. 
    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. 

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