ADAS Embedded Applications Engineer

TechDoQuest; Greensboro (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

TechDoQuest is seeking an Embedded Software Application Engineer to support integration, validation, and diagnostics for ADAS and Active Safety across multiple vehicle platforms. You will work with ECUs, sensors, cameras, and networks to ensure robust software performance in diverse vehicle variants.

The role requires hands-on experience with automotive embedded systems, CAN/Ethernet/LIN networks, and modern analysis tools.

Qualifications

• Bachelor’s degree in a related engineering or computer field.
• 2–5 years of automotive embedded systems experience.
• Proficient in vehicle networks (CAN, Ethernet, LIN, UDS).

Responsibilities

• Support software integration, deployment, and validation for ADAS and Active Safety.
• Integrate and verify software across ECUs, sensors, cameras, and vehicle variants.
• Perform vehicle-level diagnostics and CAN analysis; identify root causes.
• Validate features such as ACC, AEB, LKA, Lane Centering and other driver assistance.
• Investigate sensor, radar, camera, network, and software interaction issues.
• Evaluate impact of sensor packaging, mounting, calibration, environment on system performance.
• Support software release management, variant management, and configuration activities.
• Collaborate with global teams to resolve defects and launch blockers.
• Maintain documentation: baselines, BOMs, variant docs, integration guides, validation reports.
• Support vehicle integration throughout development, validation, launch and improvement.

Skills

Strong debugging

Independent work

Problem solving

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, or related field

Tools

CANoe

CANalyzer

Vehicle Spy

Wireshark

JIRA

Python

C/C++

Job description

TechDoQuest is seeking an Embedded Software Application Engineer to support integration, validation, and diagnostics for ADAS and Active Safety across multiple vehicle platforms. You will work with ECUs, sensors, cameras, and networks to ensure robust software performance in diverse vehicle variants.

The role requires hands-on experience with automotive embedded systems, CAN/Ethernet/LIN networks, and modern analysis tools.