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