Mercedes-Benz Digital Tech Ltd.
Technology
AndroidSoftwareEngineer(AI)
Neural analysis suggests this role is
optimal for Senior candidates.
“Android Software Engineer (AI) at Mercedes-Benz Digital Tech Ltd.. Skills: Android architecture, AI, LLM. Participate in evaluation of products. Lead evaluation of products”
Industry & Context.
Problem solving; Technical risks analysis
What They're Looking For.
Must Have
More than 5 years of experience in Android architecture, More than 5 years of experience in solution architecture, More than 5 years of experience in framework development, More than 5 years of experience in application development, Proficient in C/C++/Java language, In-depth understanding of Android system framework, Deeply understand Android Framework and HAL architecture, Deeply understand UI components, Deeply understand health monitoring in Android, Deeply understand stability in Android, Deeply understand performance in Android, Deeply understand 3D rendering in Android, Familiar with design patterns such as MVP/MVVM, Familiar with the car power control process, Understand the Android system startup principle, Familiar with the lifecycle management process of Daemon process, Familiar with the lifecycle management process of service, Familiar with the lifecycle management process of apps, Sufficient sensitivity to technical risks, Excellent problem-solving ability, Support and maintain problems found at all stages of the product life cycle, Undertake technical attacks on key and difficult problems, Experience in AI modal deployment, Experience in AI modal integration, Experience in AI modal Services/interfaces definition, Experience in AI modal implementation for AI usage
Nice to Have
Internet car company experience, Solid series in-vehicle infotainment production experience, Solid smart cabin production experience, AI OS development experience, AI agent development experience, LLM integration experience, AI related in-vehicle solution production experience, AI solution with vehicle OS integration experience, AI solution with system integration experience
What You'll Do.
Participate in evaluation of products
Lead evaluation of products
Participate in planning of functions
Lead planning of functions
Participate in discussion of functions
Lead discussion of functions
Participate in implementation
Participate in release
Participate in daily planning
Participate in development execution
Participate in testing
Participate in problem solving
Estimate personnel plan
Assist in controlling development costs
Define development standards
Define performance requirements
Design system architecture
Implement system architecture
Maintain code quality
Analyze architectural problems
Solve architectural problems
Optimize Android system
Maintain stability of Android system
Explain core capabilities of software to customers
Provide technical guidance to other departments
Explain expertise to developers
Lead AI landing in in-vehicle products
Lead AI landing in smart cockpit products
Lead AI OS landing in in-vehicle products
Lead AI OS landing in smart cockpit products
How You'll Work.
Team & Collaboration
Technical guidance to other departments
Communication Scope
Explain expertise; Explain capabilities
Full Job Description
§ Participate /lead in the evaluation of products, planning and discussion of functions, as well as implementation and release according to series and POC car project needs. § Participate in daily planning, development execution, testing and problem solving. E stimating the personnel plan, assisting in controlling development costs, defining development standards and performance requirements. § Responsible for requirements analysis, system architecture design and implementation, and main responsibility for code quality. § Responsible for the analysis and solution of architectural problems, as well as the optimization and stability maintenance of Android system . § Responsible for explaining the core capabilities of the software to customers. Provide technical guidance to other departments. Explain expertise to developers. Embrace AI and LLM, lead AI and AI OS landing in in-vehicle and smart cockpit products and solutions . Education · Bachelor degree or above (including degree), major in computer, software engineering, electronic engineering, artificial intelligence, pattern recognition, automotive electronics and other related majors; Experience · More than 5 years of proven record and Experience in Android architecture, solution architecture, framework & application development . Knowledge · Proficient in C/C++/Java language, familiar with java virtual machine principles; · In-depth understanding of Android system framework (such as AMS, WMS, PMS, audio and video channel management, data storage, etc.); · Deeply understand in one or more of the following areas, the Android Framework and HAL architecture, UI components (Activity/Fragment/Views/Layout), or health monitoring, stability, performance, 3D rendering in Android · F amiliar with design patterns such as MVP/MVVM · Familiar with the car power control process. understand ing the Android system startup principle. Familiar with the lifecycle management
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