• Develop and integrate applications within Android Automotive OS environments • Implement features such as Bluetooth connectivity, widgets, and infotainment components • Support system integration and technical implementation in embedded automotive platforms • Perform debugging and troubleshooting in complex systems • Collaborate with multidisciplinary teams (software, electronics, system integration) • Contribute to CI/CD pipelines and automation processes • Optimize application performance, scalability, and code quality • Participate in testing, validation, and system integration phases • Document processes, code, and technical deliverables

Role Description We are currently looking for a Senior Android Automotive Developer to support activities related to the development, integration, and implementation of Android-based applications within automotive environments, as well as participate in the evolution of internal tools and processes to enhance development efficiency. - Develop and integrate applications within Android Automotive OS environments - Implement features such as Bluetooth connectivity, widgets, and infotainment components - Support system integration and technical implementation in embedded automotive platforms - Perform debugging and troubleshooting in complex systems - Collaborate with multidisciplinary teams (software, electronics, system integration) - Contribute to CI/CD pipelines and automation processes - Optimize application performance, scalability, and code quality - Participate in testing, validation, and system integration phases - Document processes, code, and technical deliverables Qualifications - Bachelor’s degree in Computer Science, Software Engineering, Electronics or related field - 5+ years of experience in Android development (Java/Kotlin) - Strong knowledge of Android SDK and mobile application development - Experience with Android Automotive OS, AOSP or Android TV/Tablet (2–3+ years) - Experience working in Linux environments (Ubuntu preferred) - Experience with CI/CD tools (Jenkins, GitLab or similar) - Strong debugging and problem-solving skills Requirements - Nice to have: - Experience in automotive or embedded systems - Knowledge of CAN/LIN protocols - Experience with C++ in embedded environments - Experience in infotainment or connected systems - Familiarity with AI tools such as Copilot Benefits - Base salary - Major Medical Insurance (including dental and vision plan) - 15 days Christmas bonus - 25% vacation premium - 12 vacation days starting from the first year - PTU (Profit Sharing) - Grocery vouchers (paid biweekly)

• Define and drive the multi-year architectural roadmap for our Android applications. You will ensure our "offline-first" capabilities and real-time data syncing remain reliable, scalable, and continuously improving as we scale. • Lead high-impact technical projects that span multiple squads, such as modularizing our codebase, optimizing local data persistence (Room/SQLite), or overhauling our UI layer with Jetpack Compose. • Take ownership of the stability and performance of our hospitality suite. You’ll design systems that are resilient to the high-pressure, 24/7 environment of a commercial kitchen. • Act as a mentor to Senior and Mid-level engineers. You will set the standard for code quality, documentation, and automated testing, fostering a culture of technical excellence. • Work with Engineering, Product, Design, and leadership to evaluate feasibility, shape roadmap decisions, and align technical investments with customer and business outcomes. • Partner with enablement teams to improve CI/CD, automated testing, failure analysis, and responsible use of AI-assisted engineering tools.

• Deliver high-quality, high-performing embedded Android experiences that AOA is known for, with predictability, agentic-efficiency, and collaborative ownership. • Own the end-to-end Android architecture for native Android on custom ARM-based embedded hardware. • Design an offline-first, modular system with local data architecture that can support future cloud sync. • Design encrypted per-profile storage, the local database, and build variants for the embedded device. • Resolve open architecture decisions and own the technical path forward. • Integrate device hardware into the app, including onboard cameras, controlled lighting, proximity sensors, and physical navigation controls. • Build shared hardware-abstraction layers for camera management, physical input, and device lifecycle behavior. • Design around display power states, cold boot, power transitions, abnormal shutdowns, and constrained hardware resources. • Build the on-device Kotlin experience from approved designs and specifications, including a UI navigated by physical controls. • Ensure core product features work reliably offline. • Implement Bluetooth audio, Wi-Fi sync, OTA updates, offline device-to-device transfer, and casting or streaming. • Design connected-device flows to degrade gracefully without bricking the device or corrupting data. • Build and maintain companion mobile apps and device-to-companion integration, including pairing, transfer, and shared data contracts. • Meet device performance targets for cold boot, profile switching, and camera initialization. • Use the device GPU and NPU appropriately for imaging and AR work while managing memory and power limits. • Turn product-level requirements into clear engineering work, owning the technical 'how.' • Bring strong engineering and UX judgment to the work, rather than building only what is explicitly written. • Write typed, tested, maintainable Kotlin that follows the existing codebase conventions. • Verify every feature on real hardware before handoff and catch issues before QA. • Conduct code reviews and set the review bar for Android work. • Lead the Android work technically and raise the capability of the intermediate developer on the project. • Establish the patterns and abstractions other Android work builds on. • Size your work in points, commit within the monthly delivery cycle, and reliably deliver what you planned. • Time-box spikes to resolve genuine hardware unknowns before they become delivery risks. • Use AI coding tools and agents thoughtfully to increase throughput and quality. • Keep engineering judgment in control of the final output. • Plan and sequence your work across the device and companion-app surface. • Surface risks and tradeoffs early, and communicate proactively across a remote team.