À propos du poste : At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. As a part of this team, you will aim at automating the design of hardware accelerators for machine learning, covering the design space of TPUs as well as future and emerging, even more specialized inference accelerators. In this role, the benefits are twofold, including a dramatic increase in the productivity of hardware engineers, and aiming for performance levels beyond what is typically achievable by human experts. As an applied research and development project, the main impact is expected to be internal, through our collaborations with product teams across the Alphabet. When appropriate, open source contributions and academic publications will also be considered. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. France: €130000 - €133000 (EUR) + 20% bonus target + equity + benefits Learn more about benefits at Google . Responsabilités : Apply formal methods and constraint programming to the verification of complex computing systems. Contribute to open source and internal hardware design flows. Lead the transfer of ML-based optimization methods to production-grade tools for hardware engineers. Drive the application of formal methods in the loop of ML-based and agentic optimization flows. Support an MLIR-based compiler stack. Qualifications : Minimum qualifications: Bachelor's degree in Computer Science, related technical field or equivalent practical experience. 5 years of experience in hardware design or test. 2 years of experience with software development in one or more programming languages. Preferred qualifications: Master's degree or PhD in Computer Science or a related field with a focus on AI/ML. 8 years of experience coding in one programming language (e.g., Java, C++, Python, etc.). 5 years of experience with machine learning algorithms and tools (e.g., PyTorch, JAX, TensorFlow), artificial intelligence, deep learning, Large Language Model (LLMs), or natural language processing. 5 years of experience with data structures and algorithms and hardware-software co-design. 3 years of experience in low level ML accelerator programming, compiler or other close to hardware performance programming.

À propos du poste : 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. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. We are working on a variety of issues including infrastructure, complex algorithms, data mining, and machine learning including Large Language Models (LLMs) and GenAI. We process data sets at YouTube scale (billions of users, videos and watch time hours). We apply those techniques to improve impactful products from YouTube including Home, Search, Recommendations and vertical experiences (Music, Youth, Gaming, Living Room, etc.) We cover both infrastructure and data quality in all our projects, and do a fair number of exploration projects. Most of our work is directly impacting YouTube's top priorities including responsibility, and families Initiatives. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. France: €104000 - €106000 (EUR) + 15% bonus target + equity + benefits Learn more about benefits at Google . Responsabilités : Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field. Qualifications : Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies.