Embedded Software Application Engineer

American IT Systems•Greensboro, NC

About The Position

This role focuses on supporting software integration, deployment, and validation for ADAS (Advanced Driver-Assistance Systems) and Active Safety systems. The engineer will integrate and verify software across various ECUs, sensors, cameras, and vehicle variants. Key activities include vehicle-level diagnostics, CAN analysis, and log investigations to pinpoint system issues. The position involves validating features like Adaptive Cruise Control (ACC), Automatic Emergency Braking (AEB), and Lane Keeping Assistance (LKA). The engineer will investigate issues related to sensors, radar, cameras, network communication, and software interactions that impact ADAS performance. They will also evaluate the influence of sensor packaging, mounting, calibration, environmental factors, and vehicle architecture on system performance. Additionally, the role supports software release management, variant management, feature enablement, and software configuration across multiple vehicle platforms. Collaboration with global engineering teams to resolve defects and integration issues is crucial. The engineer will manage issues through defect tracking systems, provide technical recommendations, and create/maintain technical documentation, including software baselines, BOMs, integration guides, and validation reports. Support for vehicle integration throughout development, validation, launch, and continuous improvement phases is also required.

Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, or related field.
2-5 years of experience in automotive embedded systems, vehicle electronics, software integration, system validation, or ADAS development.
Strong understanding of vehicle communication networks including CAN, Ethernet, LIN, and UDS diagnostics.
Experience using CANoe, CANalyzer, Vehicle Spy, Wireshark, or similar analysis tools.
Experience with software configuration management, software baselines, and release processes.
Working knowledge of C/C++ and Python.
Experience with JIRA or similar defect management tools.
Strong debugging, troubleshooting, and root cause analysis skills.
Ability to work independently and quickly become productive in a fast-paced engineering environment.

Nice To Haves

Experience with ADAS, Active Safety, or automated driving systems.
Understanding of radar, camera, ultrasonic, and other vehicle sensor technologies.
Experience with sensor and camera packaging, mounting strategies, calibration processes, and vehicle integration considerations.
Understanding of how environmental conditions, vehicle configuration, and installation tolerances influence ADAS performance.
Basic hardware and electronics knowledge including: ECU architecture, Vehicle power distribution, Grounding concepts, Wiring harnesses, Connectors, Sensor interfaces, Electrical troubleshooting.
Experience with software baselines, software BOMs, software configuration management, and compatibility analysis.
Understanding of vehicle variant structures, feature coding, parameter management, software dependencies, and product-class-specific configurations.
Familiarity with AUTOSAR architecture and functional safety concepts.
Experience with HIL, SIL, simulation, or vehicle testing environments.
Experience supporting field issue investigations and customer-reported concerns.
Commercial vehicle, heavy-duty truck, or off-highway vehicle experience preferred.

Responsibilities

Support software integration, baseline deployment, and validation activities for ADAS and Active Safety systems.
Integrate and verify software across multiple ECUs, sensors, cameras, and vehicle variants.
Perform vehicle-level diagnostics, CAN analysis, and log investigations to identify root causes of system issues.
Support validation of features such as Adaptive Cruise Control (ACC), Automatic Emergency Braking (AEB), Lane Keeping Assistance (LKA), Lane Centering, and other driver assistance functions.
Investigate sensor, radar, camera, network communication, and software interaction issues affecting ADAS performance.
Evaluate the impact of sensor packaging, mounting locations, calibration requirements, environmental influences, and vehicle architecture on system performance.
Support software release management, variant management, feature enablement, and software configuration activities across multiple vehicle platforms and product classes.
Collaborate with global engineering teams to resolve software defects, integration issues, and launch blockers.
Support issue management through defect tracking systems and provide technical recommendations for corrective actions.
Create and maintain technical documentation, software baseline records, software BOMs, variant documentation, integration guides, and validation reports.
Support vehicle integration activities throughout development, validation, launch, and continuous improvement phases.