Embedded Software Application Engineer

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.

Qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, or related field.
• 2+ 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:
  • 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.

Salary Range: $75,000 - $77,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience