Embedded Engineer- Automotive ADAS

Job Title: Embedded Engineer

Location: Greensboro, NC (Onsite- 5 days a week)

Hire Type: Fulltime and Contract (Long-term)

Domain: Automotive

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.

Success Measures

The successful consultant will:

Quickly become productive with minimal onboarding.

Accelerate software integration and validation activities across multiple vehicle programs.

Drive timely root cause analysis and issue resolution.

Improve ADAS feature maturity, software stability, and overall system performance.

Effectively manage software variants, configurations, and baseline implementation across vehicle platforms.

Support successful program milestones, validation gates, and launch readiness activities.

Provide practical engineering recommendations that improve vehicle performance, quality, safety, and customer experience.

Effectively collaborate with North American and global development teams to resolve complex cross-functional issues