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 ISO26262 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.

Required Qualifications:

· 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).

Preferred Qualifications:

· Master's degree in System Engineering, Electrical Engineering, or Computer Science.

· 3 years of related experience or equivalent work experience (PhD without experience).

· Demonstrated expertise in system engineering for ADAS/AD features in mass production