Android SW Engineer, Imaging and Edge AI

Staff Android SW Engineer, Imaging and Edge AI

Join to apply for the Staff Android SW Engineer, Imaging and Edge AI role at Rivian and Volkswagen Group Technologies

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software‑defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward.

Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

Rivian and Volkswagen Group Technologies, Inc. is seeking a passionate and experienced Android SW Engineer to join our innovative team. You will be responsible for the design, development, and deployment of native Android applications for our software‑defined vehicle infotainment platform. This role will focus on integrating cutting‑edge AI functionalities (such as conversational AI assistants and multimodal vision/audio features) to create intuitive and intelligent user experiences, leveraging Edge AI capabilities.

You will collaborate closely with cross‑functional teams, including AI/ML specialists and UX/UI designers, to deliver high‑quality, scalable solutions that redefine the in‑car experience.

• Design, develop, and deploy advanced Android applications for our infotainment system, working closely with AI/ML teams to integrate features like conversational AI, computer vision, video analytics, and audio processing.
• Deliver high‑quality, well‑tested code, effectively debug complex issues, and manage priorities to meet deadlines with efficiency and a sense of urgency.
• Collaborate closely with cross‑functional teams, including Android platform engineers, AI/ML researchers, UX/UI designers, and product managers, to define requirements, design solutions, and make necessary architectural and design trade‑offs for scalable and performant native applications.
• Research, evaluate, and implement new Android technologies, development patterns (e.g., MVI, MVVM), and libraries to enhance application performance, responsiveness, and user experience on our embedded platform.
• Stay at the forefront of Android development advancements, continuously exploring innovative technologies and approaches, and effectively navigate the complexities of problem‑solving in a rapidly evolving field.
• Contribute to the integration and optimization of Edge AI models, ensuring efficient execution and low‑latency performance within the Android application environment.
• Participate in the full software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of hands‑on software development experience, with a strong focus on building native Android applications using Kotlin and/or Java.
• Proven experience in developing and deploying complex Android applications, ideally those that integrate with backend services or hardware‑accelerated libraries (e.g., for AI, computer vision, or audio processing).
• Deep understanding of the Android SDK, Android NDK, and common Android design patterns (MVVM, MVI).
• Experience with embedded or AOSP (Android Open Source Project) development is highly desirable, particularly in the context of integrating AI models on resource‑constrained devices (Edge AI).
• Familiarity with AI/ML frameworks and libraries (e.g., Tensor Flow Lite, ONNX Runtime) and their integration on mobile/edge devices is a strong plus.
• Familiarity with cloud‑based platforms and services (e.g., AWS, Google Cloud, Azure).
• Strong understanding of data structures, algorithms, and software design patterns relevant to high‑performance mobile/embedded applications.
• Experience in designing, implementing, and consuming robust APIs (e.g., REST, gRPC) for application features and…