Software Engineer III, AI Edge Applied ML Experiences

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €106000 - €108000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Produce multi-task generative models directly on-device to power real-time, low-latency image editing features.

Develop clean, reusable, cross-platform C++ APIs and native wrappers (Android and iOS) to enable frictionless integration of ML experiences into major partner apps like Google Photos, Snapseed, and YouTube.

Integrate and deploy multimodal on-device models (such as Gemma) to enable private, local intelligence across text, audio, image, and video natively on-device.

Optimize and port advanced goal-segmentation models onto edge devices, transitioning server-side prototypes into highly efficient mobile GPU/TPU pipelines targeting real-time tracking.

Design and build low-latency, on-device audio and speech pipelines (such as direct translation) by developing highly optimized C++ code and MediaPipe graphs.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in one or more programming languages such as C++, or 1 year of experience with an advanced degree.

1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Experience with on-device ML SDKs/tooling, e.g., MediaPipe, TensorFlow Lite, ExecuTorch, Core ML, SNPE/QNN.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.

Passion for innovation and a strong desire to push the boundaries of what's possible with on-device ML.

Excellent communication and collaboration skills.

Proven track record of leading and delivering successful AI/ML projects focused on on-device deployment (Android, iOS, web browsers, or embedded devices).