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Shield AI

Robot type
Drone · Defense
Location
DallasTexasUSA
Job type
Software
Posted
Jul 14, 2026
Salary
$150,000–$220,000 a year
Full-time

Staff Engineer, Data Analysis (R5290)

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.

Job responsibilities

  • Lead the technical strategy for V-BAT fleet data analysis across fielded aircraft, flight test, simulation, production, and quality workflows
  • Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable engineering metrics, reports, and analysis products
  • Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior
  • Analyze flight-critical sensor performance, GNSS-denied navigation performance, communications behavior, and other aircraft subsystems that are critical to mission success
  • Standardize the team’s analysis methods across online tools, Jupyter notebooks, automated Python scripts, and legacy Matlab workflows
  • Define best practices for analysis methods, data review, documentation, validation, reproducibility, and contribution workflows
  • Build automated Python workflows that make high-value metrics easily accessible to engineering, production, quality, and leadership teams
  • Partner with DevOps to build, deploy, maintain, and scale the infrastructure required for automated analysis pipelines and dashboards

Job requirements

  • 5+ years of relevant experience with a Bachelor’s degree in Computer Science, Data Science, or a related technical field
  • Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines
  • Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world…
  • Experience working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments
  • Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations
  • Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams
  • Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites
  • Experience with Matlab, Jupyter, or similar analysis and visualization tools

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