Mr. Trong Nguyen, Senior ADAS & SDV Software Engineer

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Nguyen works at the intersection of ADAS feature development, automotive software verification and software-defined vehicle simulation. His experience combines camera/radar software, AUTOSAR integration, requirements-based testing and tools that help engineers inspect a simulation. As Senior ADAS & SDV Software Engineer, he brings a practical development-and-verification perspective to features that need to work across algorithms, software platforms and vehicle interfaces.

Selected experience

Simulation tools for ADAS and SDV features

FPT Software, CARLA and Eclipse Velocitas

His work includes configuring CARLA scenarios, applying Eclipse Velocitas to vehicle applications and supporting web interfaces for simulation visualization and interaction. The technical scope brings together Python, C++, vehicle-signal concepts and application tooling. It supports a development workflow in which a team can exercise a feature, inspect its behavior and investigate an integration issue without relying on a physical vehicle for every iteration.

AUTOSAR software integration and verification

Automotive platform programs, Unit and integration testing

Trong has analyzed AUTOSAR requirements and architecture, configured BSW/OS modules and developed unit and integration tests. His experience includes VectorCAST, Codebeamer traceability and automotive testing principles. He connects a requirement to testable software behavior and helps investigate the gaps between a configuration, a generated platform and the implementation running on a target.

Radar testing and ADAS algorithm development

Radar ADAS programs and advanced capability development

Earlier radar work includes requirements analysis, GoogleTest/Cantata test scripts and host/target framework investigations using MSVC, GHS and TRACE32. His ADAS development background includes MATLAB/Simulink scenario work and lane, following-distance, cruise-control and braking functions. Additional projects cover telematics/eCall, MQTT and embedded prototypes, giving context to the communication and tooling surrounding a vehicle feature.

Education & Development

His academic foundation is Electronics and Telecommunication Engineering at Can Tho University (2018–2022). His technical work spans embedded C/C++, Python and application tooling, with platforms including S32K144, S32G and TC39x families. His engineering toolset includes GoogleTest, Cantata, VectorCAST, CARLA, Eclipse Velocitas, MATLAB/Simulink, Git and requirements-management tools.

Collaboration

Trong can contribute to an ADAS or SDV workstream through feature implementation, simulation setup, verification, visualization tools and integration investigation. He is particularly useful where algorithm development and software testing need to stay connected. The collaboration can include reproducible scenarios, host/target test environments, traceable checks and tooling that helps the wider team understand the feature.

Full professional background

4 years of fast-tracked growth in ADAS & Software-Defined Vehicle engineering on OEM-grade programs
Currently builds simulation/validation tooling with CARLA, Eclipse Velocitas, ROS2
Past work: AUTOSAR Classic integration & unit testing
ADAS algorithm development (LDA/LDW/FDW/ACC/AEB) in MATLAB/Simulink
Radar-focused software & unit testing for a Tier-1 supplier
Full toolchain command: embedded C/C++, GoogleTest/Cantata, Python, scenario visualization