Shield AI

Staff Engineer, Data Analysis (R5290)

Shield AI$150K — $220K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Computer Science, Data Science, or related technical field
  • Proficient in Python for building data analysis tools and workflows
  • Experience with data from complex physical products like aerospace systems or similar
  • Ability to manage large, messy datasets from varied operational environments
  • Strong communication skills with cross-functional team influence capabilities

Responsibilities

  • Lead technical strategy for V-BAT fleet data analysis
  • Own and enhance data transformation pipelines for engineering metrics
  • Conduct fleet-wide studies on hardware quality and system performance
  • Analyze flight-critical sensor and navigation system performance
  • Standardize analysis methods across various tools and workflows
  • Define best practices for data review and analysis validation
  • Build automated workflows for accessible engineering metrics

Benefits

  • Bonus structure
  • Equity options
  • Comprehensive health benefits
  • Retirement plan options
  • Paid time off and sick leave
Full Job Description
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.

What you'll do:

  • 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
  • Work with Software, GNC, Embedded, Flight Test, Systems, Production, Quality, and Operations teams to define metrics that reflect aircraft performance and product health
  • Support anomaly investigations, root-cause analysis, release readiness, production quality improvements, and customer-impacting fleet investigations with rigorous data analysis
  • Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team


Required qualifications:

  • 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 systems
  • 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


Preferred qualifications:

  • 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
  • Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems
  • Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging
  • Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems


$150,000 - $220,000 a year

#LI-SM1

#LD

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.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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