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Shield AI

Staff Engineer, Data Analysis (R5290)

Dallas, Texas · On-site · Staff

Discipline
Systems
Industry
Defense
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Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

V-BAT Division

Staff Engineer to lead fleet data analysis for V-BAT systems; own data analysis pipelines, tooling, standards, and metrics to derive fleet-wide system performance from software and hardware data; collaborate with DevOps, Flight Software, Flight Test, Production, Quality, and Operations to convert aircraft data into engineering insight.

Required

  • data analysis
  • engineering data pipelines
  • flight/test data
  • sensor performance
  • navigation
  • communications
  • DevOps collaboration
  • tooling/metrics

Preferred

  • experience with flight software
  • statistical analysis
  • data visualization
  • Python/SQL
  • cloud data platforms
  • flight test analytics

Benefits

  • medical
  • 401k
  • PTO

Employer 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. 

Job Description:
We’re looking for a Staff Engineer to lead V-BAT’s fleet data analysis efforts. The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs.  
You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems. You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors. You will work closely with DevOps, Flight Software, Flight Test, Production, Quality, and Operations teams to turn complex aircraft data into actionable engineering insight. 

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