Need a consultant for our client to support the integration, configuration, validation, and launch readiness of Advanced Driver Assistance Systems (ADAS) and Active Safety features for North American commercial vehicle platforms.
The candidate will bring practical experience in understanding how sensor and
camera placement, packaging, mounting locations, vehicle architecture, environmental
conditions, and calibration strategies influence real-world ADAS feature performance. The
role requires a systems-level mindset that balances software, hardware, vehicle integration,
and customer usage considerations.
Key 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.
Required Qualifications
• 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.
Preferred Qualifications
• 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:
o ECU architecture
o Vehicle power distribution
o Grounding concepts
o Wiring harnesses
o Connectors
o Sensor interfaces
o 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.
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