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Flight Test Engineer-UAS / Counter-UAS System

B3a09f10 4977 41ad Beff Cb89825f77ef 19000101 000001 · Tampa, FL, Tampa, FL, US, Tampa, FL · Remote · Active · ADP Workforce Now Recruiting

Job facts

Field	Value
Company	B3a09f10 4977 41ad Beff Cb89825f77ef 19000101 000001
Title	Flight Test Engineer-UAS / Counter-UAS System
Normalized title	-
Department / team	-
Location	Tampa, FL, United States
Work model	Remote / Remote
Employment type	Full Time
Salary	-
Status	active
ATS provider	ADP Workforce Now Recruiting
Posted / first seen	2026-06-12 / 2026-05-31
Changed / last seen	2026-06-18 / 2026-06-18

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Company jobs	Active postings from B3a09f10 4977 41ad Beff Cb89825f77ef 19000101 000001.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through ADP Workforce Now Recruiting.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Tampa.	Open
Work model jobs	Active Remote postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	B3a09f10 4977 41ad Beff Cb89825f77ef 19000101 000001
Source	5ba49856-49aa-4595-b7ab-536e9bd94a7d
ATS provider	ADP Workforce Now Recruiting

Description

Flight Test Engineer – UAS / Counter-UAS Systems Position Summary: OWT Global is seeking a highly motivated and technically proficient Flight Test Engineer to support the development, integration, and operational testing of advanced Unmanned Aircraft Systems (UAS) and Counter-Unmanned Aircraft Systems (C-UAS) technologies. The selected candidate will provide hands-on support for flight test planning, system integration, and execution of test events to evaluate performance across multi-sensor detection, tracking, and mitigation solutions. The Flight Test Engineer will be responsible for developing and executing test plans and procedures, supporting flight operations, and ensuring accurate collection of telemetry and sensor data. This role will focus on post-mission data analysis to assess system performance, identify anomalies, and evaluate mission effectiveness. The engineer will also develop data-driven analytical products, including performance assessments and correlation models, to support operational decision-making and system improvement. Working in a collaborative, multidisciplinary environment, the Flight Test Engineer will interface with autonomy developers, sensor engineers, system integrators, and operators to refine system capabilities and support iterative development. The role requires the ability to translate complex test data into actionable insights that enhance system performance, inform program direction, and support customer objectives. The ideal candidate will possess a strong background in flight test, data analysis, and system integration, with experience supporting UAS, C-UAS, or related aviation and defense systems. This position requires the ability to operate effectively in dynamic test environments and contribute to mission-critical efforts supporting air domain awareness and counter-UAS operations. Key Responsibilities Flight Test Planning & Execution Plan, coordinate, and execute developmental and operational flight tests for UAS and C-UAS systems Develop test plans, test cards, safety documentation, and flight procedures Coordinate with test ranges, regulatory authorities, and airspace managers Support range safety, risk assessments, and airworthiness considerations for flight operations Provide real-time monitoring and quick-look analysis during test execution to inform mission adjustments System Integration & Validation Support integration and validation of multi-sensor and C-UAS architectures, including: RF detection systems Radar and EO/IR sensors Electronic warfare payloads Counter-UAS mitigation systems Autonomous mission management software Integrate and validate data exchange with command and control (C2) systems and distributed network architectures Evaluate system performance against technical, operational, and mission-level requirements Data Collection & Telemetry Management Design and implement data collection architectures for flight test events Capture and manage telemetry, sensor data, RF signatures, and mission logs Ensure precise time synchronization across all test assets and data sources Validate data integrity and completeness for post-mission analysis and correlation Data Analysis & Correlation Product Development Analyze test data to evaluate detection accuracy, tracking fidelity, latency, and mitigation effectiveness Develop multi-sensor correlation products that fuse data across platforms and systems Build analytical products and visualizations to support: Threat detection timelines Sensor fusion performance Tracking accuracy Engagement outcomes Mission effectiveness assessments Develop mission playback tools, dashboards, and data visualization products Apply quantitative performance metrics and statistical analysis to ensure repeatability and rigor Digital Engineering & Data Integration Support digital engineering frameworks to enable traceability between requirements, test events, and performance outcomes Contribute to structured data environments supporting repeatable analysis and model-based evaluation Enable integration of test data into broader system models and engineering workflows Autonomy & Advanced System Evaluation Evaluate autonomy behaviors, decision logic, and AI-enabled system performance Support testing of sensor fusion algorithms and autonomous mission execution capabilities Documentation & Reporting Produce and maintain: Flight test plans Test execution reports Data analysis reports System performance assessments Present findings to engineering leadership, program managers, and government stakeholders Required Qualifications Experience with UAS and Counter-UAS systems 3–7 years of experience in flight test engineering, UAS testing, or aerospace system validation Experience with telemetry systems, flight test instrumentation, and data collection architectures Strong experience with data analysis, correlation, and visualization tools Understanding of networking concepts and system integration (C2, data exchange, latency) Ability to translate complex data into actionable insights Experience with technical documentation and test reporting Active Secret security clearance (or ability to obtain) Preferred Qualifications & Skills Bachelor’s degree in aerospace engineering, Electrical Engineering, Robotics, Data Engineering, or related field Familiarity with RF sensing, radar, EO/IR systems, and electronic warfare Experience supporting DoD test ranges, range safety processes, or military exercises Knowledge of autonomy, sensor fusion, and AI-enabled mission systems FAA Part 107 Remote Pilot Certificate and Class II Flight Physical Experience with: Python MATLAB Data analytics platforms GIS mapping tools Telemetry analysis software Familiarity with MBSE and Digital Engineering environments Knowledge, Skills, and Abilities Knowledge of flight test methodologies, performance evaluation metrics, and test execution processes Knowledge of multi-sensor systems, data fusion, and air domain awareness architectures Ability to analyze large, complex datasets and develop meaningful performance insights Ability to correlate multi-source data (telemetry, sensor, RF, Radar, operator inputs) into cohesive analytical products Strong problem-solving skills in dynamic, mission-critical environments Ability to manage multiple priorities and adapt to evolving test objectives and system configurations Effective communication and collaboration skills across multidisciplinary teams Attention to detail in data validation, synchronization, and reporting Work Environment Primary duty location is MacDill AFB, Florida. Operational environment supporting live UAS and airspace management activities Close coordination with engineers, operators, and program leadership in fast-paced, mission-critical environments May require coordination with multiple stakeholders, including government personnel, contractors, and external partners Occasional travel for training, integration events, or system support activities May require flexible hours, including support during testing events or mission operations

Full job record

Job ID	9e63cfb3a2c1222658b50e969b95b5513c85a164
Org ID	1777cfd7-18c9-4d20-a4d6-9471c895d951
Source ID	5ba49856-49aa-4595-b7ab-536e9bd94a7d
Board ID	5ba49856-49aa-4595-b7ab-536e9bd94a7d
Provider	adp_workforcenow
Provider Job Key	571741
Title	Flight Test Engineer-UAS / Counter-UAS System
Normalized Title	—
Status	active
Active	yes
Location Text	Tampa, FL, Tampa, FL, US, Tampa, FL
Department	—
Team	—
Employment Type	full_time
Workplace Type	remote
Remote Policy	remote
Country	United States
Region	FL
City	Tampa
Salary Raw	—
Salary Min	—
Salary Max	—
Salary Currency	—
Salary Period	—
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Apply URL	https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=b3a09f10-4977-41ad-beff-cb89825f77ef&ccId=19000101_000001&lang=en_US&type=JS&jobId=571741&jwId=9200893118141_1
First Seen At	2026-05-31 18:32:08Z
Last Seen At	2026-06-18 13:24:11Z
Last Checked At	2026-06-18 13:24:11Z
Last Changed At	2026-06-18 13:24:11Z
Inactive At	—
Source Posted At	2026-06-12 13:51:00Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=adp_workforcenow/board=b3a09f10-4977-41ad-beff-cb89825f77ef\|19000101_000001/date=2026-06-18/2026-06-18T13-24-11-240Z-3e83071311e4ed8976dcc5582b1a6edc04c64ff99cbfe9bce263f500b0ed5a20.json

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Extensions

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\" style=\"width: 300px;\" class=\"fr-fic fr-dib\"></p><p><br></p><h1 style=\"margin-left: 0in; text-align: center;\" data-pasted=\"true\">Flight Test Engineer &ndash; UAS / Counter-UAS Systems</h1><p><br></p><h1 style='margin-right:0in;margin-left:0in;font-size:19px;font-family:\"Times New Roman\",serif;' data-pasted=\"true\">Position Summary:</h1><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><span style=\"font-weight:normal;\">OWT Global is seeking a highly motivated and technically proficient Flight Test Engineer to support the development, integration, and operational testing of advanced Unmanned Aircraft Systems (UAS) and Counter-Unmanned Aircraft Systems (C-UAS) technologies. The selected candidate will provide hands-on support for flight test planning, system integration, and execution of test events to evaluate performance across multi-sensor detection, tracking, and mitigation solutions.</span></h2><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><span style=\"font-weight:normal;\">The Flight Test Engineer will be responsible for developing and executing test plans and procedures, supporting flight operations, and ensuring accurate collection of telemetry and sensor data. This role will focus on post-mission data analysis to assess system performance, identify anomalies, and evaluate mission effectiveness. The engineer will also develop data-driven analytical products, including performance assessments and correlation models, to support operational decision-making and system improvement.</span></h2><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><span style=\"font-weight:normal;\">Working in a collaborative, multidisciplinary environment, the Flight Test Engineer will interface with autonomy developers, sensor engineers, system integrators, and operators to refine system capabilities and support iterative development. The role requires the ability to translate complex test data into actionable insights that enhance system performance, inform program direction, and support customer objectives.</span></h2><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><span style=\"font-weight:normal;\">The ideal candidate will possess a strong background in flight test, data analysis, and system integration, with experience supporting UAS, C-UAS, or related aviation and defense systems. This position requires the ability to operate effectively in dynamic test environments and contribute to mission-critical efforts supporting air domain awareness and counter-UAS operations.</span></h2><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'>Key Responsibilities</h2><div style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><ul style=\"list-style-type: disc;\"><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Flight Test Planning &amp; Execution<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Plan, coordinate, and execute developmental and operational flight tests for UAS and C-UAS systems</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Develop test plans, test cards, safety documentation, and flight procedures</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Coordinate with test ranges, regulatory authorities, and airspace managers</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Support range safety, risk assessments, and airworthiness considerations for flight operations</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Provide real-time monitoring and quick-look analysis during test execution to inform mission adjustments</li></ul></li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">System&nbsp;Integration &amp; Validation<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Support integration and validation of multi-sensor and C-UAS architectures, including:<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">RF detection systems</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Radar and EO/IR sensors</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Electronic warfare payloads</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Counter-UAS mitigation systems</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Autonomous mission management software</li></ul></li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Integrate and validate data exchange with command and control (C2) systems and distributed network architectures</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Evaluate system performance against technical, operational, and mission-level requirements</li></ul></li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Data Collection &amp; Telemetry Management<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Design and implement data collection architectures for flight test events</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Capture and manage telemetry, sensor data, RF signatures, and mission logs</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Ensure precise time synchronization across all test assets and data sources</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Validate&nbsp;data integrity and completeness for post-mission analysis and correlation</li></ul></li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Data Analysis &amp; Correlation Product Development<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Analyze test data to evaluate detection accuracy, tracking fidelity, latency, and mitigation effectiveness</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Develop multi-sensor correlation products that fuse data across platforms and systems</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Build analytical products and visualizations to support:</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Threat detection timelines</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Sensor fusion performance</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Tracking accuracy</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Engagement outcomes</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Mission effectiveness assessments</li></ul></li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Develop mission playback tools, dashboards, and data visualization products</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Apply quantitative performance metrics and statistical analysis to ensure repeatability and rigor</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Digital Engineering &amp; Data Integration<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Support digital engineering frameworks to enable traceability between requirements, test events, and performance outcomes</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Contribute to structured data environments supporting repeatable analysis and model-based evaluation</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Enable integration of test data into broader system models and engineering workflows</li></ul></li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Autonomy &amp; Advanced System Evaluation<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Evaluate autonomy behaviors, decision logic, and AI-enabled system performance</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Support testing of sensor fusion algorithms and autonomous mission execution capabilities</li></ul></li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Documentation &amp; Reporting<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Produce and maintain:<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Flight test plans</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Test execution reports</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Data analysis reports</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">System performance assessments</li></ul></li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Present findings to engineering leadership, program managers, and government stakeholders</li></ul></li></ul></div><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'>Required Qualifications</h2><div style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><ul style=\"list-style-type: disc;\"><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Experience with UAS and Counter-UAS systems</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">3&ndash;7 years of experience in flight test engineering, UAS testing, or aerospace system validation</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Experience with telemetry systems, flight test instrumentation, and data collection architectures</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Strong experience with data analysis, correlation, and visualization tools</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Understanding of networking concepts and system integration (C2, data exchange, latency)</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Ability to translate complex data into actionable insights</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Experience with technical documentation and test reporting</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Active Secret security clearance (or ability to obtain)</li></ul></div><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'>Preferred Qualifications &amp; Skills</h2><div style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><ul style=\"list-style-type: disc;\"><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Bachelor&rsquo;s degree in aerospace engineering, Electrical Engineering, Robotics, Data Engineering, or related field</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Familiarity with RF sensing, radar, EO/IR systems, and electronic warfare</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Experience supporting DoD test ranges, range safety processes, or military exercises</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Knowledge of autonomy, sensor fusion, and AI-enabled mission systems</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">FAA Part 107 Remote Pilot Certificate and Class II Flight Physical</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Experience with:<ul style=\"list-style-type: disc;\"><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Python</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">MATLAB</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Data analytics platforms</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">GIS mapping tools</li><li style=\"margin-right: 0in;font-size:16px;font-family: initial;\">Telemetry analysis software</li></ul></li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Familiarity with MBSE and Digital Engineering environments</li></ul></div><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'>Knowledge, Skills, and Abilities</h2><div style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><ul style=\"list-style-type: disc;\"><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Knowledge of flight test methodologies, performance evaluation metrics, and test execution processes</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Knowledge of multi-sensor systems, data fusion, and air domain awareness architectures</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Ability to analyze large, complex datasets and develop meaningful performance insights</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Ability to correlate multi-source data (telemetry, sensor, RF, Radar, operator inputs) into cohesive analytical products</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Strong problem-solving skills in dynamic, mission-critical environments</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Ability to manage multiple priorities and adapt to evolving test objectives and system configurations</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Effective communication and collaboration skills across multidisciplinary teams</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Attention to detail in data validation, synchronization, and reporting</li></ul></div><h2 style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'>Work Environment</h2><div style='margin-right:0in;margin-left:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><ul style=\"list-style-type: disc;\"><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Primary duty location is MacDill AFB, Florida.</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Operational environment supporting live UAS and airspace management activities</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Close coordination with engineers, operators, and program leadership in fast-paced, mission-critical environments</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">May require coordination with multiple stakeholders, including government personnel, contractors, and external partners</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">Occasional travel for training, integration events, or system support activities</li><li style=\"margin-right:0in;margin-left:0in;font-size:16px;font-family: initial;\">May require flexible hours, including support during testing events or mission operations</li></ul></div><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:.5in;text-indent:0in;font-size:16px;font-family:\"Times New Roman\",serif;'><br></p></div></div></div>\n",
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