Android Software Developer

About the role

At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting‑edge software and technology to enhance the driving experience and reduce environmental impact. MBRDNA is seeking an Android Software Developer to develop and deliver next‑generation AI‑powered in‑vehicle experiences. This role will contribute to the design, development, integration, and validation of software for the Mercedes‑Benz Intelligence Platform, enabling advanced infotainment, conversational voice AI, and multimodal experiences across current and future vehicle programs. The ideal candidate combines strong Android and embedded software development skills with experience or interest in AI technologies, including LLMs, speech and audio models, multimodal AI, and onboard inference. The developer will work closely with AI/ML engineers, system architects, UX teams, and global development partners to integrate AI capabilities into production vehicle software, optimize performance on automotive compute platforms, and deliver high‑quality software in accordance with Automotive SPICE and relevant automotive standards. Relocation assistance (domestic or international) is not provided for this position.

Responsibilities

• Design, develop, test, and maintain Android‑based applications, services, and software components for the Mercedes‑Benz Intelligence Platform.
• Develop and integrate AI‑powered features using LLMs, speech and audio models, and multimodal AI technologies.
• Integrate AI models and inference services across onboard and cloud environments, including interfaces between Android applications, AI inference engines, vehicle systems, and backend services.
• Develop next‑generation conversational voice AI experiences, integrating speech recognition, audio processing, LLMs, and other AI capabilities.
• Contribute to multimodal AI experiences that combine voice, text, visual information, and vehicle context.
• Support physical AI use cases by integrating vehicle signals and contextual data with AI‑powered applications to enable more context‑aware and proactive in‑vehicle experiences.
• Develop and integrate software using Android Automotive OS, Android frameworks, system services, and vehicle‑specific interfaces.
• Work with AI/ML engineers to integrate, evaluate, and optimize models for in‑vehicle use cases, including model performance, latency, reliability, and resource utilization.
• Participate in the full software development lifecycle, including requirements analysis, design, implementation, unit testing, integration, validation, release, and post‑launch support.
• Optimize Android software and AI workloads for automotive compute platforms, including CPU, GPU, NPU, memory, storage, power utilization, startup time, and response latency.
• Work with hardware, platform, and AI/ML teams to analyze performance bottlenecks and optimize software and AI model execution on target hardware.
• Debug complex software and integration issues across development environments, test benches, and vehicles, and perform root‑cause analysis.
• Develop automated unit and integration tests and contribute to CI/CD, continuous testing, and software release processes.
• Participate in code reviews and contribute to software architecture, maintainability, reliability, and engineering best practices.
• Contribute to Automotive SPICE‑compliant development activities, including requirements management, traceability, verification, validation, and technical documentation.
• Collaborate with global cross‑functional teams, including AI/ML, UX, Product Management, Engineering, Platform