Architect Lead - Android Automotive (m//f/d)

• Lead the architecture and design of Android Automotive solutions, ensuring scalability, security, and performance.
• Collaborate with product managers, UX designers, and hardware teams to define software requirements and technical specifications.
• Develop and maintain system architecture, ensuring seamless integration with vehicle hardware and cloud-based services.
• Provide technical guidance and mentorship to engineering teams, ensuring best practices in coding, testing, and deployment.
• Conduct design and code reviews to ensure high-quality deliverables.
• Optimize performance and power consumption of Android-based in-vehicle infotainment (IVI) systems.
• Stay up to date with the latest advancements in Android Automotive, automotive cybersecurity, and industry standards.
• Work closely with OEMs, Tier 1 suppliers, and other stakeholders to define and implement robust solutions.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 8+ years of experience in software development, with a focus on Android development and system architecture.
• Proven experience working with Android Automotive OS (AAOS) and in-vehicle infotainment systems.
• Strong understanding of Android Framework, HAL (Hardware Abstraction Layer), and AOSP (Android Open Source Project).
• Experience in designing and implementing HMI (Human-Machine Interface) solutions for automotive applications.
• Proficiency in Java, Kotlin, C++, and embedded development.
• Strong knowledge of CAN, LIN, and other automotive communication protocols.
• Hands-on experience with Android build systems, BSP (Board Support Package), and middleware integration.
• Familiarity with Functional Safety (ISO 26262) and Automotive SPICE standards.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

Preferred Qualifications:

• Experience with cloud connectivity, over-the-air (OTA) updates, and vehicle-to-everything (V2X) communication.
• Knowledge of machine learning and AI applications in automotive systems.
• Experience working with automotive OEMs and Tier 1 suppliers.
• Understanding of cybersecurity challenges in the automotive domain.

• Competitive working conditions
• Full time employment
• Flexible working schedule and possibility to work from home
• Personal and professional career development, and payed certifications
• Private health insurance
• Innovative projects with prestigious international customers
• Team building activities to support team oriented culture
• Friendly team of helpful colleagues where knowledge sharing is everyday routine
• Coffee, Refreshments and Fruits