Sr. ADAS System Integration Engineer

Role Responsibilities:

• Take ownership of specifications, system requirements, and system architecture for both internal and external supplier-provided systems.
• Lead and contribute to validation tests on component and vehicle levels.
• Coordinate and facilitate discussions between internal ADAS/AD development teams, external suppliers, and cross-functional technical teams.
• Collaborate closely with the functional safety team to ensure compliance with ISO
  26262 standards.
• Explore and implement simulation, Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), and vehicle test approaches for efficient (sub-)system testing and validation.
• Contribute to the definition and build-up of the test vehicle fleet, test benches, and calibration installations.
• Develop and improve test plans, conduct data analysis, and participate in feature validation tests.
• Enhance the integration process through automation and efficient test strategies.
• Leverage state-of-the-art processes and tools for architecture, requirements, and Application Lifecycle Management (ALM) in a collaborative environment.

• Bachelor's degree in System Engineering, Electrical Engineering, or Computer Science.
• 5+ years of related experience, with a proven track record in hardware/software systems for ADAS or AD automotive features.
• Deep experience in designing, debugging, testing, and bringing up complex hardware/software systems.
• Capability and creativity to complete projects successfully in innovative startup environments.
• Several years of working experience at automotive Tier 1/2 suppliers or OEMs, with a deep understanding of automotive processes and workflows.
• Programming skills and data analysis tool experience (e.g., C/C++, Matlab/Simulink, CANoe/CANape/CANalyzer, CAPL scripting).
• Experience with requirements management tools such as JAMA, DOORS, Polarion, or similar.
• Excellent communication skills (verbal and written).

• Master's degree in System Engineering, Electrical Engineering, or Computer Science.
• 4 years of related experience or equivalent work experience (PhD without experience).
• Demonstrated expertise in system engineering for ADAS/AD features in mass production.