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Autonomy Test & Validation Engineer

Textron, Inc.

Augusta, Georgia • Today

Full-time

Job Details

Skills

Risk Assessment
ROOT
Internationalization And Localization
SAFE
Real-time
Mechatronics
Electrical Engineering
Mechanical Engineering
Software Engineering
C++
Programming Languages
Robotics
Sensors
Global Positioning System
Dynamics
Test Plans
Debugging
Conflict Resolution
Problem Solving
ROS
Stacks Blockchain
Artificial Intelligence
Machine Learning (ML)
SIM
Scripting
Python
Data Analysis
KPI
Testing
Data Collection

Summary

Textron Specialized Vehicles Inc. is a leading global manufacturer of golf cars, utility and personal transportation vehicles, professional turf-care equipment, and ground support equipment. Textron Specialized Vehicles markets products under several different brands. Its vehicles are found in environments ranging from golf courses to factories, airports to planned communities, and theme parks to hunting preserves.

Responsibilities:

Develop scenario-based validation strategies covering nominal, degraded, and edge-case operating conditions.
Verify autonomous system performance within defined Operational Design Domains (ODDs) while measuring system-level KPI's.
Execute safety validation activities and support hazard analysis and risk assessment activities.
Support integration, commissioning, and validation of autonomous vehicles during prototype builds and field deployments.
Capture high-quality structured datasets for continuous ML model improvements.
Perform root-cause investigations across perception, localization, planning, and controls subsystems.
Provide clear validation reports and insights to accelerate development.
Develop best practices and protocols to ensure safe, valuable testing for autonomous vehicles.
Work with technical development team to solve and troubleshoot problems in real-time during field testing.

Education: Bachelor's degree in Mechatronics, Electrical, Mechanical, Software Engineering or other related field required.
Years of Experience: 2+ years of relevant experience required.
Software Knowledge: Python, C++, or similar programming languages required.

Additional Requirements:

Required Skills: Experience in vehicle testing, robotics validation, or autonomous systems. Strong understanding of sensors (LiDAR, camera, GPS, IMU) and vehicle dynamics and control behaviour. Ability to design structured test plans and analyse complex system performance. Experience with data logging, telemetry capture, and analysis tools. Hands-on, field-based debugging mindset with strong problem-solving skills.
Preferred Skills: ROS2 systems and autonomy stacks. Autonomous navigation and control concepts. AI/ML systems in real-world environments. Simulation tools (Isaac Sim or similar). Basic scripting (Python) for data analysis and automation.

Travel Requirements

~40% travel required to support field testing, KPI validation, safety testing, data collection, pilot deployments, and customer acceptance activities.
Valid driver's license required.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL97951
Position Id: efa844897b9efcce10cc0712df00d4a9
Posted 19 hours ago

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Job Details

Skills

Risk Assessment
ROOT
Internationalization And Localization
SAFE
Real-time
Mechatronics
Electrical Engineering
Mechanical Engineering
Software Engineering
C++
Programming Languages
Robotics
Sensors
Global Positioning System
Dynamics
Test Plans
Debugging
Conflict Resolution
Problem Solving
ROS
Stacks Blockchain
Artificial Intelligence
Machine Learning (ML)
SIM
Scripting
Python
Data Analysis
KPI
Testing
Data Collection

Summary

Develop scenario-based validation strategies covering nominal, degraded, and edge-case operating conditions.
Verify autonomous system performance within defined Operational Design Domains (ODDs) while measuring system-level KPI's.
Execute safety validation activities and support hazard analysis and risk assessment activities.
Support integration, commissioning, and validation of autonomous vehicles during prototype builds and field deployments.
Capture high-quality structured datasets for continuous ML model improvements.
Perform root-cause investigations across perception, localization, planning, and controls subsystems.
Provide clear validation reports and insights to accelerate development.
Develop best practices and protocols to ensure safe, valuable testing for autonomous vehicles.
Work with technical development team to solve and troubleshoot problems in real-time during field testing.

Education: Bachelor's degree in Mechatronics, Electrical, Mechanical, Software Engineering or other related field required.
Years of Experience: 2+ years of relevant experience required.
Software Knowledge: Python, C++, or similar programming languages required.

Additional Requirements:

Required Skills: Experience in vehicle testing, robotics validation, or autonomous systems. Strong understanding of sensors (LiDAR, camera, GPS, IMU) and vehicle dynamics and control behaviour. Ability to design structured test plans and analyse complex system performance. Experience with data logging, telemetry capture, and analysis tools. Hands-on, field-based debugging mindset with strong problem-solving skills.
Preferred Skills: ROS2 systems and autonomy stacks. Autonomous navigation and control concepts. AI/ML systems in real-world environments. Simulation tools (Isaac Sim or similar). Basic scripting (Python) for data analysis and automation.

Travel Requirements

~40% travel required to support field testing, KPI validation, safety testing, data collection, pilot deployments, and customer acceptance activities.
Valid driver's license required.

Dice Id: RTL97951
Position Id: efa844897b9efcce10cc0712df00d4a9
Posted 19 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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